Biometrics have been used for identification since ancient times, such as signatures, paintings and so on. In addition, traditional identification methods also include identification items (such as keys, licenses, cards, etc.) and identification knowledge (such as user names and passwords, etc.). With the development of human society, the identification method based on human biometrics has brought many safer, more confidential and more convenient identification methods with the help of computer technology. The increase in market demand has also promoted the mixed application or fusion of various biometric technologies, making it a new development trend. With the development of technology, multiple biometric technology will integrate many single identification technologies to form a more accurate and safer identification and detection mechanism, and achieve wider market applications. However, to achieve the perfect integration and multiple applications of single biometrics, multiple biometrics technology has a long way to go. Biometrics: From 1 to N Since human biometric features such as fingerprints, palm shape, iris, etc. are usually unique and unchanged for life, by collecting, measuring, identifying or verifying these features with modern computer technology, people can be authenticated and passed the test. The class recognition method has the advantages of not easy to forget, good anti-counterfeiting performance, not easy to be forged or stolen, portable and available anytime, anywhere. At present, based on human fingerprints, palm shape, face, retina, iris, signature, genes, veins (finger vein and palm vein), voice, gait and other characteristics, related biometric technologies have been developed, some of which have been It can be seen everywhere in real life, and some of these biometric identification methods are still in the experimental stage, but with the development of science and technology, more and more biometric identification technologies will be practically applied. Biometrics The earliest development of biometric identification in my country is the fingerprint identification technology. As early as the 1980s, it began to study and master the core technology. The industrial development is relatively mature, and it has been widely used in access control, attendance and other products. After 1996, my country has also started active research and achieved good development in biometric authentication technologies such as face recognition, vein recognition, and iris recognition. Up to now, my country has related research and application in various biometric technologies such as fingerprint recognition, palm recognition, face recognition, iris recognition, vein recognition, retina recognition, DNA recognition, voice recognition, signature recognition, and gait recognition. . With the help of modern computer technology, biometric technology can be easily integrated with computers and security, monitoring, and management systems to achieve automated management. Qin Dehu, Marketing Director of Beijing Jiade Hengan Science and Technology Development Co., Ltd. pointed out that compared with traditional identification methods, biometric identification has obvious advantages. Through the information perception and intelligent calculation of human physiological and behavioral characteristics, automatic identity confirmation is realized, which is not easy to be stolen or stolen. Copy, save the trouble of remembering passwords and carrying cards with you, but each biometric has its own application range, and the recognition accuracy is greatly affected by the working environment. Since various biometric technologies have their specific application purposes and pertinence, it is necessary to consider the unique requirements of each technology for application scenarios, such as recognition accuracy, price, system ease of use, and so on. With the improvement of security requirements, the challenges faced by a single biometric identification technology are becoming more and more severe, such as fingerprint application. For this reason, people usually use two or more identification methods at the same time to improve security. At present, the common combinations of multiple identification methods mainly include "fingerprint + face", "fingerprint + iris", "face + iris" "Wait. However, the simple superposition of multiple identification methods is not an optimal solution and cannot solve the overall practicability of the system. Therefore, multiple biometric identification technologies that integrate multiple identification technologies have become a new development trend. Multiple fusion to achieve 1+1>2 The characteristics and advantages of biometric identification based on a single technology are single and limited. Although the application of multiple technologies can bring higher security, there are still some problems in terms of reliability, identification time and overall practicability of the system. lacking. If a variety of biometric technologies are organically integrated for integrated application, its performance, reliability and security will be greatly improved, and the overall performance of the system can be better utilized. According to industry stakeholders, there are two main forms of multi-recognition technology at present, one is through middleware software and the other is in the form of integrated biometric identification technology. The former mainly uses various types of identification equipment in the front end, and a recognition algorithm platform similar to middleware in the back end, which combines a variety of biometric data and identification technologies into a complete system. Analysis and processing are performed on the server of the large-scale recognition algorithm. This form is common in criminal investigation application systems, national election systems, immigration management systems, and social security identity confirmation systems. Converged biometrics represent the latest trend in the field of multiple biometrics. It collects different biological features through a variety of independent or combined collection methods, and uses a fusion algorithm to uniformly process the collected various biological features, and comprehensively judges to obtain the final Identify the results. Such processing methods and results are faster and more accurate, and the system is more scalable, ultimately enabling the entire system to reach new heights of safety. This fusion algorithm is especially suitable for large-scale government public projects, such as passport systems, visa systems, immigration management systems, election systems, and so on. Compared with single or multiple biometric technologies, the advantages of multiple biometric technologies are obvious. The organic integration of multiple biometric technologies achieves the effect of "1+1>2" and promotes its popularization in large-scale systems. application. It is reported that the most realistic reason is that multiple biometrics technology solves the overall practicality of the system. The core is fusion However, the current multiple biometric technology is not perfect, and how to pass the recognition algorithm and judgment mechanism is the key to its perfection and popularization. Relevant industry insiders pointed out that the main advantage of multiple biometric identification technology is to improve the accuracy and security of identification, and at the same time to broaden the application population and practical application fields of biometric identification system, but the main problem at present is that it is still difficult to achieve real integration, and Related products still need to be systematically improved in terms of recognition accuracy, response time, data scale, and ease of use. In addition, some people in the industry have mentioned that the acquisition system of multiple biometric identification technology is more complicated than single biometric identification technology, which leads to higher costs, and the user experience still needs to be improved. Good but will reduce the performance of the system. The key to multiple biometric identification technologies lies in the integration of multiple identification technologies, and the core of this integration lies in the integration and unification of identification algorithms. The future development direction of multiple biometric identification is fusion algorithm, which is to calculate and select two or more biometric standards, and finally form a unified and overall judgment standard. In fact, the results of identification and verification need to be discriminated, which requires the formation of a discrimination mechanism and standard. The fusion algorithm is to solve the problem of the judgment mechanism, which is a fusion of different identification and judgment standards. It is a very big challenge to organically integrate multiple recognition algorithms. It is necessary to integrate many biological features that are not logically related, such as fingerprints, palm shape, face, and iris, into one feature. It is necessary to find out its intrinsic relevance from a technical point of view, and to conduct research and development on the background at the same time. If it is just a combination of centralized identification methods, it cannot be called an ideal multiple biometric identification. Pwm Controller 12V,Pulse Width Modulation Controller,Best Solar Charge Controller,Best Mppt Charge Controller NANTONG RONGCHANG IMPORT&EXPORT CO.,LTD , https://www.ergsolarcn.com