In the use of fingerprint module,  to judge recognition experience is good or not, recognition speed, acquisition area, resolution, service life, security, software support type, tolerance, anti-static performance are the key indicators of fingerprint recognition.

Too small acquisition area will make the accuracy of fingerprint recognition drop significantly. It is for this reason that Zhongyinyun's fingerprint module solution uses a 160*160 pixel array. Compared with some traditional fingerprint module 60 * 80, 96 * 112 and other small area matrix products, its role in the accuracy of fingerprint recognition is self-evident.

The PB algorithm used by Jnchip (HongKong) uses the algorithm of Precise Biometrics, a Swedish manufacturer with 20 years of experience in fingerprint software development.

The outstanding feature of this algorithm is that it creates a database by collecting live and fake fingerprint images for algorithm training to improve fingerprint matching capability or for fake and live detection. And it is able to evaluate, analyze and make a comprehensive report on the vulnerability of fingerprint sensors in terms of fake fingerprint attacks. 

It is also able to achieve accuracy in compliance with financial vehicle-grade security algorithms, making the FAR less than 1% and FRR less than one part per million.