Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques

Abstract

In this paper, we have presented a Fingerprint Recognition System which combines both the features extraction by applying a statistical and geometry approach. First, the core point (CP) of the input fingerprint is detected. Next, we find again fingerprint features such as minutiae point location. Each furrow pattern is extracted and measured relative distance from core point in horizontally and vertically based on the fingerprint image’s core point. These above mentioned features are stored in different databases. And then the input fingerprint features are compared with above pre-defined database and decision will be made by voting system. We conducted evaluations on the FVC-2004 datasets and have summarized the results in the conclusion section.