INTELLIGENT FINGERPRINT RECOGNITION SYSTEM WITH STATISTICAL AND GEOMETRICAL APPROACH

摘要

In this paper, we have presented a Fingerprint Recognition System which combines both the features extraction by applying a statistical and geometry approach. The core point (CP) of the input fingerprint is detected. Keeping the CP in the center, the image of size w x w is cropped portion of the image. A fingerprint image is preprocessed for minutiae and core point. The core point is used to align the input image and template image. Based on the align fingerprint image, fingerprint features such as minutiae points determination, their coordinates location, distance between base point and above minutiae points and radius of arcs for each ridge pattern. These above mentioned features are stored in different databases. The input fingerprint features are compared with above pre-defined database and discussion will be made by voting system. We conducted evaluations on the FVC-2004 datasets and have summarized the results in the conclusion section.