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Fingerprint Recognition Device (96)

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Nowadays, whether it is in the field of mobile phones or door locks, semiconductor fingerprint identification devices have been widely used. First of all, in the mobile phone industry, fingerprint identification applications for most high-, medium-, and low-end mobile phones are already very common. In the field of smart door locks, fingerprint recognition also occupies most of the production and sales. Semiconductor fingerprint recognition devices have a market share and half of the market in smart door locks. Up to now, the identification of semiconductor applications in the field of smart door locks in my country has achieved rapid development in 2016, with an average annual growth rate of more than 100%. By the end of 2017, the number of applications of semiconductor fingerprint identification devices in the field of smart door locks in my country has exceeded 4 million sets. The demand in 2018 will exceed 800 sets, and the total demand in the next five years will exceed 30 million sets. It is currently the world's largest market for semiconductor fingerprint identification devices with the largest growth and holdings except for mobile phones.

However, at present, most market distributors and consumers, and even technical workers in some smart door lock manufacturers do not understand the working principle and mechanism of semiconductor fingerprint identification devices, and they are easy to be used by some undesirable phenomena. Problems in product selection have even caused distrust of consumers.

What is semiconductor fingerprint recognition

It is necessary to use the electric potential difference between the convex and concave of the fingerprint circuit of the semiconductor (capacitor) to obtain the fingerprint identification image or feature point, and the method of corresponding identification. Then it is not difficult to understand that the work of a semiconductor fingerprint identification device should be divided into two parts, one is the hardware, including semiconductor devices (sensors), processing chips, memory chips, the other is the software, and the core is the algorithm. The overall four parts are mainly.

Among them, the semiconductor device (sensor) is responsible for sensing the potential difference, the processing chip is responsible for calculating and judging the obtained pictures or features, and the memory chip is responsible for storing relevant data and algorithms. The core part of this is the sensor, and its quality is directly at the hardware level. The above determines the efficiency and accuracy of recognition, followed by the processor, which is the central part of the entire semiconductor fingerprint identification device. The processor determines the speed of the algorithm, the efficiency of recognition and the power consumption of the smart door lock, and finally the memory , But the three are co-prosperity and symbiosis. No matter how good the sensor is, if the processor is not good, the application effect will not be achieved. The first two are excellent, but the memory cannot store more data, and the final overall effect is in vain.

The software algorithm is in the position of the commander on the entire semiconductor fingerprint identification device. The hardware is the foundation, and the algorithm is an important manifestation of function and experience. The so-called fingerprint identification algorithm refers to the preprocessing of the collected fingerprint image during the fingerprint identification process. , Data feature extraction, feature matching and a series of clear instructions to solve the problem. The entire fingerprint recognition algorithm includes three parts. The first is preprocessing, which is mainly to improve the input fingerprints to improve the accuracy of recognition feature extraction; the second is fingerprint feature extraction: refers to a specific area or feature Information is extracted to remove a large number of false features and improve the efficiency and accuracy of recognition; the last is matching, which is to store information on the basis of the above two points, and then perform the matching of various features and images after fingerprints are entered.

Method for connecting semiconductor fingerprint identification device and fingerprint lock

Currently in the application field of fingerprint door locks, there are two main ways to connect the semiconductor fingerprint identification device to the fingerprint door lock. One is relatively independent in the form of a kit, and the other is related to the components of the electronic solution. integrated.

Relatively independent: the semiconductor fingerprint identification device exists in the fingerprint door lock in the form of a kit. The three main components of the sensor, memory, and processor are independent of the fingerprint door lock's electronic solution, and only through the data cable and the fingerprint door lock The electronic parts are connected, and the application of fingerprint recognition is relatively independent. The advantage of this is strong adaptability, easy maintenance, easy update, reducing the difficulty of electronic development, and forming a modular application; the disadvantage is that the integration is not high, the volume is relatively large, and the cost is relatively high; this is the current situation

The integration scheme is: the semiconductor fingerprint identification device is stored in the fingerprint door lock in a relatively integrated manner, and only the semiconductor sensor is connected to the PCBA motherboard of the electronic scheme by plugging or data line connection, which means that the processor, memory, etc. are integrated in the In the framework of the overall electronic solution, fingerprint recognition has been dissolved in the overall solution, and the fingerprint recognition device is only a part of the electronic solution. The advantages of this approach are: the product quality is easy to control, the integration is higher, the cost is relatively low, and the update is easier; the disadvantage is: the development difficulty is increased, the modular application cannot be formed, the adaptability is poor, and the same type of fingerprint identification device It cannot be fully matched with other electronic solutions.

There are two connection methods. Among them, the fingerprint door lock manufacturer loves the most in the first connection method, and the integrated solution only accounts for a very small part. However, most of the manufacturers of the integrated solution have strong technical force or have The production enterprises of very fixed suppliers, and the scale is relatively large.

The safety status of fingerprint algorithm in fingerprint door lock

The core of the security of the electronic part of the fingerprint door lock is the fingerprint recognition device. Whether it is the recognition efficiency, the strong recognition accuracy or the recognition accuracy, the difficulty of being cracked, etc., all determine the fingerprint door lock. The final product quality and safety. These fingerprint identification devices are not only good enough in hardware, but also require very high attainments in algorithms.

Types of fingerprint algorithms. At present, the domestic fingerprint door lock algorithms mainly include three types. One type is an image-based feature recognition algorithm. The main principle is that the fingerprint is formed on the sensor and extracted after preprocessing. It is a type of algorithm that determines the consistency/inconsistency of the whole/part of the image during recognition. However, because the image will change or the receiving surface is too small, the difficulty of image judgment will increase. Generally this type of algorithm All have self-learning function to solve the disadvantages of too small receiving area, so this type of algorithm is suitable for small area sensors and is derived from the fingerprint recognition algorithm of mobile phones, so the overall cost is lower. The other is based on fingerprint feature points. The basic feature recognition algorithm, its principle is that after the fingerprint image is preprocessed by the sensor, the corresponding different area feature points on the fingerprint image are extracted, and the algorithm type that determines the consistency/inconsistency by comparing the features on the image during recognition This algorithm will not be unrecognizable due to changes in the image. As long as the feature exists, it can be recognized. However, this algorithm is not suitable for the sensor area because the feature is not obvious when the sensor area is too small. Products that are too small, such as mobile phones. Therefore, the overall cost is relatively high; the third type is an algorithm type based on two types of image and feature points developed by several companies focusing on fingerprint recognition algorithms recently. This type is based on the combination of the advantages of the above two. Using the advantages of both features and images for identification, the overall cost is in the middle reaches.

Security, from the working principle, we can easily analyze that the security based on image recognition is relatively poor, because the image is easy to be copied, and because the sensor area of most devices based on image recognition is too small, in order to have a better sense of experience, most It has a self-learning function, which has also led to the appearance of the orange peel mobile phone fingerprint lock produced in the previous stage. It uses the insufficiency of the image algorithm to compare images in a large area, and has a self-learning function. Conductive pens and conductive paper allow "orange peels" to be "fingerprint recognition", but at present, because the fingerprint recognition area is too small, the experience is not good, and there are not many companies that apply image algorithms to fingerprint door locks, only a very small number of low prices The brand has been affected, but this also makes us vigilant, not to sacrifice safety because of cost and experience.

The security based on feature recognition is very good, because it is based on the feature information for identification, and the feature information is generally not easy to change, and in principle, we also conclude that the area of the transmitter is large, which makes it possible to copy fingerprints. The degree of difficulty has increased geometrically, which greatly improves the security performance of recognition. It is basically impossible to achieve the so-called "orange peel" unlocking. This is also the algorithm adopted by the mainstream fingerprint door lock manufacturers. This is why , The most important reason that most branded fingerprint door locks were not affected in this incident.

The image + feature recognition algorithm based on the advantages of the two is currently the best for development. The former is low in price, but the security is worrying, and the second is safe, but the overall cost is high. With the market and The development of the industry will focus more on high-end products in the future, and the algorithms based on the advantages of the two will take advantage of the speed, efficiency and cost reduction of the former on the one hand, and the security of feature recognition on the other hand. Advantages, the most important thing is that the overall cost will also be reasonably reduced, which may become one of the development trends in the future.

The relationship between fingerprint door lock product experience and security of fingerprint identification device

The fingerprint door lock is a product with heavy experience. It is a product that is used frequently and experienced frequently. Basically, every household has at least 10 times a day, and the highest is even more than 30 times. Therefore, the fingerprint door lock experience Determine the desire of consumers to buy. The core and most critical part of the fingerprint door lock experience is the fingerprint identification device. This is the place where consumers have the most frequent contact during use and the most user experience. Therefore, the experience of the fingerprint identification device basically determines the fingerprint door The experience of the lock product.

However, the experience and security of fingerprint identification devices are dialectical in terms of hardware and software. Good experience and good security performance are generally very costly, because the sensing area is required to be larger, the algorithm is higher-end, and the memory is larger. Some, faster, faster processor speed, so that the efficiency experience is good, but it will cause the cost and power consumption to rise sharply, to the point where consumers can't accept it. Just imagine the fingerprint door lock replaces the battery once a week or two weeks. Can you accept it? Or in order to reduce power consumption and make the algorithm easier to pass, other performance is kept constant. Although the experience is better, the door can be opened in 0.x seconds, but the security performance is also reduced a lot, and the security of the fingerprint door lock cannot be guaranteed. Can it be considered a safe lock?

Therefore, in general, the major fingerprint identification device R&D manufacturers now adopt the third method, using the dialectical relationship of the three, under the premise of setting the power consumption, while improving the level of algorithms, sensors, processors, and memory. So as to achieve the ultimate goal of the fingerprint door lock product use experience, and ultimately reach the level of consumer satisfaction.

Fingerprint recognition is to classify and compare the fingerprints of the recognition object to make judgments. Fingerprint recognition technology, as one of the biometric identification technologies, has gradually matured in the new century and has entered the field of human production and life.
   Fingerprints are the lines formed by the uneven skin at the end of human fingers. The fingerprints have been formed before humans are born and the shape of the fingerprints will not change with the growth of the individual, only a significant degree of change, and each person’s fingerprints are different Yes, it can be well distinguished in many detailed descriptions. There are three basic shapes of fingerprint lines: whorl, arch and loop. There are many feature points in the fingerprint. The feature points provide the confirmation information of the uniqueness of the fingerprint. This is the basis for fingerprint recognition. It is divided into overall features and local features. The overall feature includes the core point (located at the progressive center of the fingerprint pattern). , Triangular point (located at the first bifurcation point or break point from the core point, or the converging point, isolated point, turning point, or pointing to these singular points), the number of lines (the number of fingerprint lines); The local feature is the minutiae feature of the fingerprint. The direction, curvature, and node position at the feature point are all important indicators to distinguish different fingerprints. [1]
Fingerprint identification fingerprint features:
Feature points
Fingerprint, the English name is fingerprint. Two fingerprints often have the same overall characteristics, but their detailed characteristics cannot be exactly the same. Fingerprint lines are not continuous, smooth and straight, but often interrupted, bifurcated or turned. These breakpoints, bifurcation points and turning points are called "feature points".
Feature points provide confirmation information for the uniqueness of fingerprints. The most typical ones are termination points and bifurcation points. Others include divergence points, isolated points, loop points, short lines, etc. The parameters of the feature point include direction (the node can face a certain direction), curvature (describe the speed at which the grain direction changes), and position (the position of the node is described by x/y coordinates, which can be absolute or relative to a triangle Point or feature point).
Overall characteristics of fingerprint recognition:
Overall characteristics are those that can be directly observed with the human eye. Including pattern, pattern area, core point, triangle point and pattern number, etc.
Based on long-term practice, fingerprint experts generally divide fingerprints into three categories according to the direction and distribution of the ridges—loop (also known as bucket), arch, and spiral (whorl). ).
The pattern area is the area that includes the overall characteristics of the fingerprint. From this area, it is possible to distinguish which type the fingerprint belongs to. Some fingerprint recognition algorithms only use the data in the pattern area, and some use the complete fingerprint obtained.
The core point is located at the progressive center of the fingerprint lines, and it serves as a reference point when reading fingerprints and comparing fingerprints. Many algorithms are based on core points, that is, only fingerprints with core points can be processed and recognized.
The triangular point is located at the first bifurcation point or break point from the core point, or the converging point, isolated point, turning point of two striped roads, or pointing to these singular points. The triangular point provides the starting point for counting and tracking of fingerprint lines.
The number of patterns is the number of fingerprint patterns in the pattern area. When calculating the fingerprint pattern, generally connect the core point and the triangle point first. The number of intersections of this line with the fingerprint pattern can be regarded as the fingerprint pattern.
Fingerprint recognition local features:
Local feature fingerprint node feature. Fingerprint lines are not continuous, smooth and straight, and often bifurcated and folded
Transfer or interrupt. These intersections, turning points, or breakpoints are called "feature points", and they provide a confirmation letter of the uniqueness of the fingerprint
interest. The main parameters of feature points include:
Direction: The direction of the feature point relative to the core point.
Curvature: The speed at which the grain direction changes.
Position: The position coordinates of the node, described by x/y coordinates. It can be an absolute coordinate or a relative coordinate with a triangular point (or feature point).

Fingerprint recognition technology background:

Fingerprint recognition technology is one of many biometric recognition technologies. The so-called biometrics technology (biometrics) refers to the use of the inherent physical or behavioral characteristics of the human body for personal identification. Because of the convenience and safety of biometrics And other advantages make biometric identification technology have broad application prospects in the fields of identity authentication and network security. The available biometric identification technologies include fingerprints, faces, voiceprints, iris, etc., among which fingerprints are the most widely used. Since the 1960s, new electronic computer technology has entered the field of fingerprint identification, opening up a new way for fingerprint identification automation. In recent years, fingerprint recognition technology has been applied to smart phones and has become an important basic technology that supports mobile phone unlocking and online payment. In the future, based on FIDO and other protocols, fingerprint recognition and other biometric identification technologies will completely replace the existing cryptographic system. In the fingerprint recognition algorithm, it was initially the research on fingerprint classification technology to improve the efficiency of fingerprint file retrieval. At present, mainstream fingerprint recognition algorithms are based on detailed features such as the end points and bifurcation points of fingerprint lines. With the application of fingerprint recognition technology in mobile devices, the size of fingerprint collection chips has become increasingly miniaturized, and recognition algorithms based on three-level features such as sweat holes and line shapes have received increasing attention. In fingerprint collection technology, the ink printing method first appeared. The fingerprint card printed with ink is digitized by scanning and then stored and processed later. After the 1970s, the emergence and popularization of optical fingerprint collection technology promoted the rapid collection and verification of fingerprints on site. The application on mobile devices has promoted the rapid development of small size and ultra-thin fingerprint collection technology.
Fingerprint recognition process:

The fingerprint recognition process is divided into two sub-processes, divided into four parts. The two secondary processes are fingerprint recording and cross-checking processes. The fingerprint recording process consists of four parts: fingerprint collection, fingerprint preprocessing, fingerprint inspection and fingerprint template collection. The fingerprint comparison process also includes four parts: fingerprint collection, fingerprint preprocessing, fingerprint feature comparison and matching. In these two processes, the pre-processing of the fingerprint image exists, but the value of the fingerprint image and the value of the fingerprint feature seem to have the same name, but their inherent algorithms and properties are completely different. In the process of introducing fingerprints, fingerprint images are obtained more frequently, and the single-value extraction part of the algorithm pays more attention to the identification and acquisition of some characteristic values. [3]
The first step of fingerprint recognition is the acquisition of fingerprint images. There are many ways to acquire fingerprint images, mainly including optical fingerprint acquisition technology, capacitive sensor fingerprint acquisition, temperature sensor fingerprint acquisition technology, ultrasonic fingerprint acquisition technology, electromagnetic wave fingerprint Acquisition technology, pre-processing after obtaining the image, it is necessary to realize the pre-processing steps of gray-scale transformation, segmentation, equalization, enhancement, and refinement of the image. First, the fingerprint must be segmented from the entire pattern. The background image and the fingerprint distribution image have different gray levels. This determines the difference in intensity between the two. The concept of gradient can be used to separate the fingerprint from the background image. Open; equalization is an important step in preprocessing. When extracting, the pixel distribution points in different areas of the fingerprint image obtained according to different environments are different. Equalization is to divide the pixels in different areas to obtain a balanced brightness distribution. Image; In order to facilitate the extraction of features, the image processed in a few steps needs to be intelligently enhanced. Daugmann has realized the use of Gabor wavelet approximation method to make the fingerprint image lines clearer, that is, the white part is whiter and the black part is more clear. Black, the edge distribution of the lines is smoother. [1]
For the processed fingerprint image, the fingerprint lines are already very clear. To perform fingerprint recognition, feature extraction must be performed. Those specific feature points are separated to replace different lines. First, the feature endpoints and cross points of the fingerprint are extracted, and the endpoints are crossed. The point image is divided into nine square grids, and the gray value of the fingerprint feature distribution is different. The end points and the cross points of the fingerprint image are separated. For the extraction of singular points, the Poincare formula is used to extract the drastic changes around the direction field. Point, we use different algorithms in the computer to implement the extraction process of each feature point. [1]
Finally, the recognized fingerprint is classified. The fingerprint classification is to compare the collected fingerprint features with the fingerprint features stored in the database to determine whether they belong to the same fingerprint. First, rough matching is performed according to the fingerprint pattern, and then the fingerprint morphology and minutiae features are used. Performing an exact match gives the degree of similarity of the compared fingerprints. According to different applications, the similarity scores of fingerprints are sorted or the judgment result is given whether they are the same fingerprint. There are two ways to compare fingerprints: One-to-one comparison is based on the user's retrieval of the user fingerprint to be compared from the database. Then compare with the newly collected fingerprints; one-to-many comparison is to compare the newly collected fingerprints with all fingerprints in the database one by one. [1]
The workflow of a typical fingerprint identification system is as follows:
Fingerprint recognition process
Fingerprint recognition process
1. Obtain the image of the fingerprint needed to identify the fingerprint through the fingerprint collection device.
2. Perform the following preprocessing on the collected fingerprint image.
Image quality judgment
Image enhancement
Fingerprint area detection
Fingerprint pattern and frequency estimation
Image binarization (set the gray value of each pixel in the fingerprint image to 0 or 255)
Image refinement
3. From the preprocessed image, the ridgeline data of the fingerprint is obtained.
4. From the ridgeline data of the fingerprint, the feature points required for fingerprint recognition are extracted.
5. Match the extracted fingerprint features (information of feature points) with the fingerprint features stored in the database one by one to determine whether they are the same fingerprint.
6. After the fingerprint matching processing is completed, the processing result of the fingerprint identification is output.
Features of fingerprint recognition technology:

The main advantages of fingerprint recognition technology are:
1. Fingerprints are unique features of the human body, and their complexity is sufficient to provide sufficient features for identification;
2. If you want to increase reliability, you only need to register more fingerprints and identify more fingers, up to ten, and each fingerprint is unique;
3. The speed of scanning fingerprints is very fast and it is very convenient to use;
4. When reading the fingerprint, the user must touch the finger and the fingerprint collection head directly, and directly with the fingerprint collection head;
5. Contact is the most reliable method to read the biological characteristics of the human body;
6. The fingerprint collection head can be more miniaturized, and the price will be lower;
The main disadvantages of fingerprint recognition technology are:
1. Some people or groups of fingerprints have few fingerprint features and are difficult to image;
2. In the past, because of the use of fingerprints in criminal records, some people were afraid of "recording fingerprints".
3. In fact, the fingerprint authentication technology may not store any data containing fingerprint images, but only store the encrypted fingerprint characteristic data obtained from the fingerprint;
4. Every time a fingerprint is used, the user's fingerprint print will be left on the fingerprint collecting head, and these fingerprint traces may be used to copy fingerprints.
5. Fingerprints are important personal information of users. In some applications, users are worried about information leakage.

Fingerprint recognition technology has developed rapidly in recent years. Among many biometric recognition technologies, it is a relatively mature recognition method. With the upsurge of smart phones, fingerprint recognition has been widely used in the field of smart phones: mobile phone unlocking, payment information , Message confirmation, etc. [1]
Access control technology
Enter fingerprints into the database in advance. When identifying the user's fingerprints, first extract the user's fingerprints. The access control system will process the fingerprint identification process to obtain classification information and perform comparison verification of the entered fingerprints. If the fingerprint information in the database is met, the system Perform door opening operations; based on the access control system, for today's students using door cards to open the door, students are prone to losing cards and inconvenient to carry. The use of fingerprint recognition in dormitory management can largely solve the existing problems.
The fingerprint access control system replaces the traditional key with a finger. When using it, you only need to place your finger on the collection window of the fingerprint collector to complete the unlocking task. The operation is very simple and avoids other access control systems (traditional mechanical locks, password locks, Identification cards, etc.) may be forged, stolen, forgotten, deciphered, etc.
The hardware of the fingerprint access control system is mainly composed of a microprocessor, a fingerprint recognition module, a liquid crystal display module, a keyboard, a real-time clock/calendar chip, an electric control lock, and a power supply. As the upper computer of the system, the microprocessor controls the entire system. The fingerprint recognition module mainly completes the functions of fingerprint feature collection, comparison, storage, and deletion. The liquid crystal display module is used to display information such as door opening records, real-time clock and operation prompts, and forms a man-machine interface together with the keyboard.
According to system functions, the software is mainly composed of fingerprint processing module, liquid crystal display module, real-time clock module and keyboard scanning module. The fingerprint processing module is mainly responsible for the information processing of commands and return codes between the microprocessor and the fingerprint recognition module; the LCD module writes a driver program according to the timing of the liquid crystal display module to achieve the purpose of displaying Chinese characters and characters; the real-time clock module is based on the clock Chip timing, write communication program, realize the read and write operation of clock chip; keyboard scanning module is to write keyboard program according to the design principle of keyboard to identify whether there are key actions and the key number of the key pressed.
Banking Technology
Nowadays, when self-service bank withdraws money, only password verification is easy to be identified by criminals. Therefore, in some areas, the bank card and fingerprint information matching record has been started. When withdrawing money, verify the password and bank card and compare the fingerprint information. First obtain For the user's fingerprint information, the ATM will automatically transfer the fingerprint information to the backend, and the backend will compare and identify the entered and verified fingerprints. If the requirements are met, the money will be successfully withdrawn. This further link can provide more protection for the user's safety.
Fingerprint recognition computing system:
Fingerprint identification technology is currently the most mature and cheap biometric identification technology. At present, fingerprint recognition technology is the most widely used. Not only can we see fingerprint recognition technology in access control and attendance systems, there are more fingerprint recognition applications on the market: such as laptops, mobile phones, automobiles, and bank payments. Can apply fingerprint recognition technology.
Computer applications, including the protection of many very confidential files, mostly use the "user ID + password" method for user identity authentication and access control. However, if the password is forgotten or stolen by others, the security of the computer system and files will be threatened.
With the advancement of technology, fingerprint recognition technology has slowly entered the computer world. Many companies and research institutions have made great breakthroughs in the field of fingerprint identification technology, and launched many application products that perfectly combine fingerprint identification with traditional IT technology. These products have been recognized by more and more users. Fingerprint recognition technology is mostly used in business fields that require relatively high security, and internationally renowned brands such as Fujitsu, Samsung, and IBM, which have made considerable achievements in the field of business mobile office, have relatively mature technology and application fingerprint recognition systems.
Fingerprint payment: By binding the fingerprint with the bank card, the consumer payment can be completed with one tap of the fingerprint. Car fingerprint anti-theft: Controlling the door switch through fingerprints or controlling engine ignition is a typical application of fingerprint technology in car fingerprint anti-theft. Fingerprint UKEY: It is a terminal used for identity verification in online banking. It is more secure than the current account password verification and ordinary UKEY verification. (4) Fingerprint attendance: It can help companies, universities, etc. improve personnel management departments and related personnel The work efficiency of time and attendance can realize the automation, standardization and systematization of personnel management. Fingerprint lock: Fingerprints can be used for access control of high-end buildings and villas, as well as government confidential departments, etc., for computer startup settings to ensure the safety of individuals and governments. Fingerprint identification: It is an effective means of identity determination in the judicial part to effectively identify criminals and suspects.
Insufficiency and prospects of fingerprint recognition:

There are still some problems in the application of fingerprint recognition. In view of the similarity of fingerprints between relatives, the accuracy of the algorithm is not high, which can easily lead to recognition errors, and the fingerprint information left behind when touching things is easy to be cited by others, and the security is not high, which requires We improve the accuracy of the algorithm in the process of pattern recognition, and comprehensively recognize other aspects of information except fingerprints. [1]
Development prospects
Combination of living body detection and fingerprint recognition to avoid the undesirable consequences caused by the theft of left fingerprints, including comprehensive biometric recognition of face recognition, iris recognition and other recognition technologies to improve the accuracy of recognition results; fingerprint recognition and information registration Integration, the establishment of a huge database, the registration information can be inquired through fingerprints, including student information, citizen information, award-winning information, etc., and unlock operations, including door locks, car locks, mobile phone locks, etc., such integrated information will greatly It is convenient for people's production and life. [1]
Since fingerprints are easy to forge and the probability of their being stolen cannot be ignored, the demand for fingerprint identification equipment for living body identification will increase significantly. In addition, fingerprint identification technology has caused fingerprints to be stolen due to its easy availability. The security and reliability of fingerprint identification technology in the application process need to be further improved. Therefore, combining other biological characteristics (such as iris, voiceprint, vein, etc.) Biology is the lack of technology and will be an important direction for the development of fingerprint recognition technology. In addition, with the rapid development of wearable devices and the Internet, fingerprint recognition technology will be more widely used in wearable devices.

Fingerprint Recognition Device:

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