What are the better biometric companies?

It is true that there are many domestic manufacturers who have production and application in the field of biometrics, but there may be only a few companies with independent intellectual property rights for face recognition algorithms, and only a handful of them can really be deeply cultivated in the industry for more than ten years.

Tiancheng Ye Sheng is the first biometric team that integrates three independent intellectual property rights: fingerprint, iris and face. He has been deeply involved in biometrics for nearly 20 years and is a veteran of domestic technology companies in this field. Their biometric technology covers various industries in China, such as finance, security, education, social security, transportation and so on.

In the first half of this year, following the announcement of the directory of fingerprint collectors of resident ID cards by the Ministry of Public Security on 20 12, the Ministry of Public Security once again announced the application providers of fingerprint identification algorithm for resident ID cards. So far, from algorithms to equipment, the Ministry of Public Security has provided the direction for the social license department. Among them, as a leading enterprise focusing on biometrics and data security, Beijing Tiancheng Ye Sheng Technology Co., Ltd. has been recommended by the Ministry of Public Security for its fingerprint identification application algorithm and fingerprint collection equipment.

What's more, Tiancheng Ye Sheng's face recognition has begun to cooperate with banks, and Jincheng Bank has realized remote card opening and other services with the help of face recognition. Giants including China Everbright Bank, China Bank and Minsheng Bank also used their biometric technology. These technologies have changed the traditional working style of bank account managers, from sitting in business to working in business, improved financial services and better strengthened the strategic layout of mobile finance to cope with bank users who tend to be "lazy"

After 8 years of research and development, Tiancheng Ye Sheng's face recognition algorithm ranks in the forefront of FRGC International Face Recognition Challenge, supporting near infrared and visible light recognition. The system uses face recognition algorithm to send two images for comparison, returns the comparison results according to the recognition rate of different channels, and stores the compared images in the warehouse according to the set rules. The original face feature matching dynamic template fusion (self-learning) technology has the self-learning function of face recognition algorithm, which can accurately identify and verify face information and improve the recognition pass rate.