Fingerprint Matching Algorithm Based on Local Triangular Feature Point Model

Fingerprint identification as one of biometric technology, fingerprint matching is an important process. It is a question on how to solve the identified fingerprint problem caused by the fingerprint translation, rotation and deformation because of different pressure of fingerprint, and it is the important subject of this article resolved. In the paper I propose a local triangular model of the feature point matching algorithm based on neighbor point. It is based on the image of fingerprint minutiae and adjacent local minutiae to form a triangle, and import two judgment factors for the algorithm which is distance factor and the ridge line number factor between the two neighboring minutiae points of triangle, in order to effectively address encountered the low recognition rate in the matching process of the fingerprint image caused by the translation, rotation and extrusion deformation. The fingerprint matching algorithm based on local triangular feature point model improved the precision of the fingerprint identification and made it more reliability. Finally, the experimental comparison analysis results obtained the triangle local feature points model based fingerprint matching algorithm has better performance.