With the continuous improvement of biometrics, iris, retina, palm print and other technologies have gradually matured
Author: huifan Time: 2019-12-02
At present, biometrics are widely used for fingerprint, face, and voice recognition. No special equipment is required, and the cost is lower, which is easier to be accepted by the market. With the continuous improvement of biometrics-related technologies, technologies such as iris, retina, and palm print will gradually mature, and it is expected to develop rapidly in the fields of information security, personal consumer market, and financial applications.
Definition of biometrics
Biometrics technology is the close integration of high-tech means such as optics, acoustics, biosensors, and biometrics through computers, using the inherent physiological characteristics of the human body (such as fingerprints, face images, iris, etc.) and behavioral characteristics (such as handwriting, Voice, gait, etc.) for personal identification.
Three major biometric technologies and their characteristics
Face recognition technology is the most widely used and most convenient
RA08 8 inch dynamic facial recognition device
The research of face recognition system began in the 1960s. With the development of computer technology and optical imaging technology after the 1980s, the real entry into the primary application phase was in the late 90s. Technology-oriented. Today, the application of face recognition technology is not limited to business places, it has gradually penetrated into ordinary people's homes in various forms of smart home. However, the information storage of the face recognition system is still based on the language that the computer can recognize, that is, numbers or specific codes, and the security must be discounted. Perhaps, many female friends are miserable about face recognition. If you change your hairstyle and make up, it won't recognize it.
Fingerprint recognition technology is mature but not suitable for everyone
HF7000 Fingerprint scanner
Each fingerprint has several unique and measurable feature points. Each feature point has about seven features. People's ten fingers produce a minimum of 4,900 independently measurable features. Fingerprint recognition technology analyzes measurable feature points of fingerprints, extracts feature values from them, and then authenticates them. At present, China's second-generation ID card has realized fingerprint collection, and all major smartphones have realized the fingerprint unlocking function. Compared with other biometric technologies, fingerprint recognition has already been widely used in consumer electronics, security and other industries. Through the test of time and practice, the technology is also constantly innovating. Although everyone's fingerprint identification is unique, it is not suitable for every industry and everyone. For example, people who work with both hands for a long time will be troubled by fingerprint recognition. If their fingers are broken or there is foreign matter in the wet and dry environment, the fingerprint recognition function will be disabled.
Voiceprint recognition is low cost, fast access, strict application requirements
The so-called voiceprint is a spectrum of sound waves carried by electroacoustic instruments carrying speech information. It is very suitable for remote identity verification. Only a microphone or phone, mobile phone can be used to achieve remote login through the network (communication network or Internet). However, the shortcomings of voiceprint recognition are also very obvious, and the requirements on the environment are very high. It is not easy to obtain voiceprints in a noisy environment and mixed speech; human voices also change with the influence of age, physical condition, age, and emotion. Changes; different microphones and channels have an impact on recognition performance.
Global biometric technology has unlimited potential
At present, biometrics are widely used for fingerprint, face and voice recognition. No special equipment is needed, and the cost is lower, which is easier to be accepted by the market. With the continuous improvement of biometrics-related technologies, technologies such as iris, retina, and palm print will gradually mature, and it is expected to develop rapidly in the fields of information security, personal consumer market, and financial applications.
Data shows that the scale of biometrics exceeded the US $ 10 billion mark in 2014, and the biometrics market rose to US $ 13 billion in 2015. It is expected that the global biometrics market will exceed US $ 25 billion by 2020. Among them, the fingerprint recognition market size will be 13 billion U.S. dollars, voice recognition will be 5.6 billion U.S. dollars, face recognition will be 2.4 billion U.S. dollars, iris recognition will be 1.6 billion U.S. dollars, and other biological technology will be 2.4 billion U.S. dollars.
In general, the current single biometric technology has its own advantages and disadvantages, and problems will inevitably occur in application. However, as the market expands and technology continues to advance, it is believed that biometric technology will intersect with the Internet and the Internet of Things and become New focus in various industries.
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