An Improve Approach in Core Point Detection for Secure Fingerprint Authentication System

Fingerprint recognition is a very old and reliable method among all biometric recognition methods. Fingerprint recognition is done through preprocessing and post-processing stages. Two big challenges in fingerprint recognition are the most important, namely the reduction of false features and the matching of an uneven number of details features. This problem occurred due to the rotation of the fingerprint. To overcome this problem, a center point detection method is used. The center point of finger that is known as core point is used for comparing two different aligned or displaced fingerprints. The rate of success and the speed of verification and identification process of fingerprint are depending on core point detection. Even now, the extraction of core point is major challenge in fingerprint verification. The proposed core point extraction algorithm follows image enhancement, thinning, minutiae extraction steps. The implementation of research work is carried out using .Net platform with custom fingerprints database of 2000 images of different 200 users.