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The following is the Biometrics Industry Report of mobile devices in 2020 From China Institute of electronic technology standardization recommended by recordtrend.com. And this article belongs to the classification: research report.
Biometric recognition of mobile devices is mainly composed of biometric collection, biometric storage and biometric comparison. Among them, the key technologies include biometric sample collection, quality judgment, presence attack detection, biometric extraction, feature comparison and decision-making, multimodal fusion and so on. From the perspective of application mode, the typical application mode is divided into local mode and remote mode, which can complete all biometric applications on the mobile device, and also can be completed by the cooperation of the mobile device and the remote server. From the perspective of industrial chain, the biometric industry of mobile devices covers all levels from the basic layer acquisition components, technology layer algorithm to application layer solution, among which the acquisition components and biometric algorithm are the key components of the industry.
From the perspective of biometric recognition mode, biometric recognition of mobile devices involves fingerprint, face, iris, voiceprint, vein and multimodal fusion. At present, fingerprint recognition and face recognition are widely used on mobile devices, which widely support the development of digital economy with mobile payment, e-government, e-Social security, e-medical insurance and other representative applications.
In recent years, with the popularity of mobile terminals, more and more biometric technology is applied to smart phones and other products to meet the advent of the era of Internet of things. Biometrics on mobile terminals include fingerprint, face, voiceprint, iris and vein. Among them, fingerprint and face are the two most widely used biometric recognition modes. Fingerprint recognition sensors of mobile terminals such as smart phones and tablets have gradually developed from capacitive to off screen. Face cameras have also experienced the development of 2D, binocular and 3D (such as structured light and TOF). Biometric applications on mobile terminals are constantly developing and mature. Biometrics
Entering the mobile terminal market creates conditions for entering the consumer electronics market, and the market potential is huge. At the same time, as an important perception device and security entrance of mobile Internet and Internet of things, mobile devices play a very critical role.
Network identity authentication is the main application scenario of mobile device biometrics. Network technology intelligently connects the common objects around people to the Internet, the Internet of things, etc., digitizes the information collected by the device through the perception layer, and then presents it, providing a more intelligent and convenient ability to remotely operate the device. Taking the Internet of things as an example, statista predicts that the global market size of the Internet of things will grow from $2.99 trillion in 2014 to $8.99 trillion in 2020, with a compound annual growth rate of 19.92%. As for mobile phones, according to the data released by China Academy of information technology, in 2019, the annual domestic market mobile phone shipment volume was 389 million, including more than 13 million 5g mobile phones. It can be seen that the Internet of things technology is currently in the stage of rapid development. In the future, its combination with mobile devices, intelligent driving, artificial intelligence, blockchain and other technologies will continue to innovate and emerge new business models and new products and solutions, which will affect people’s lives everywhere.
It is worth noting that the current network development is still facing many challenges, such as market fragmentation, non-uniform industrial standards, imperfect security considerations and so on. Especially in terms of security, compared with the Internet, the application of Internet of things will go deeper into people’s physical life. Once security incidents occur, it may even directly endanger the personal safety of users. Therefore, the security problem has become an important link in the process of network development.
In the application of biometrics for mobile devices, there are many types of biometrics, each of which has its own characteristics and advantages. Just as fingerprint recognition can not replace password unlocking, the emergence of face recognition does not mean the end of the era of fingerprint recognition. Fingerprint recognition still has the advantages of large user base and good user habit cultivation. Each biometric recognition technology has its own characteristics and advantages, and multiple biometric modes on mobile terminals will coexist for a long time.
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