Feature Extraction of Fingerprint Image Based on Minutiae Feature Points

Fingerprint identification system has been widely used in many kinds of fields such as public security, enterprise, bank and so on. And the correctness of the feature extraction directly affects the reliability of the system. After introducing fingerprint minutiae, this paper implements an algorithm for minutiae extraction based on tracing the thin ridge line, expressing the type of current point and the states of its 8-neighborhood pixels by 8-neighbour coding, which can effectively extract ridge endings and ridge bifurcations in thinned fingerprint image. The experimental results show that the algorithm can not only improve the speed of feature extraction, but also accurately eliminate pseudo minutiae, so the follow-up time of the image processing is shortened, and it can satisfy the need in the practical application.