ARM fingerprint identification method and device based on sparse matrix

Abstract

The invention relates to a fingerprint identification method based on a sparse matrix. The method is characterized by comprising the following steps that hardware of a fingerprint identification system is initialized, fingerprint signals are detected, fingerprint images are collected, relevant information is obtained, the fingerprint images are preprocessed, finger non-detail feature points are extracted, fingerprint identification matching is carried out by utilizing a sparse matrix fingerprint matching algorithm, the matching degree of fingerprints is calculated, comparison is carried out according to the matching degree and a set fingerprint matching degree threshold value, whether the fingerprints are matched or not is judged, and an identification result is transmitted to a hardware platform of a fingerprint identification device to be displayed. Meanwhile, the invention relates to the ARM fingerprint identification device based on the sparse matrix. The fingerprint identification device is used for achieving the fingerprint identification method based on the sparse matrix. According to the method and device, fingerprint identification is carried out, and the method and device are high in identification rate of fingerprint identification, high in speed of fingerprint identification, low in false rejection rate and false identification rate of fingerprint identification, high in reliability and strong in operability. The fingerprint identification method can be applied to the fields of internets, computers, entrance guards and the like. Along with the continuous improvement of requirements of people for encryption techniques, the fingerprint identification method and device have good market prospects in fingerprint identification.

Description

technical field [0001] The invention relates to fingerprint identification technology in detection technology, in particular to a fingerprint matching method in the fingerprint identification process, and more specifically to an ARM fingerprint identification method and device based on a sparse matrix. Background technique [0002] Biometric technology represents the development direction of future identity verification technology, and fingerprint recognition technology is one of the most reliable and effective biometric technology. Modern fingerprint recognition technology is a better identification method for other biometric technologies such as face, palm shape, blood vessel, iris, retina, voice, and DNA recognition technology. Denaturation; on the other hand, the current fingerprint recognition algorithm has reached the level of fast recognition and high accuracy, and it is a biometric technology that can be commercialized. [0003] The process of fingerprint recognitio...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is that, aiming at the slowness and inaccuracy of the fingerprint recognition process, and the limitations of existing recognition techniques and methods, a sparse matrix-based method is adopted, and according to the non-detail point features of the fingerprint image, That is, the position coordinates of core points and triangle points and the curvature of lines at these points constitute feature vectors to form a fingerprint recognition method for fingerprint matching. Using the method and system of the present invention improves the fingerprint recognition speed and reduces the verification error rate and recognition error rate.

Images