A Robust Fingerprint Recognition System Based on Hybrid DCT and DWT

摘要

Fingerprint recognition has emerged as one of the most important methods for personal recognition. Though, owing to the skin conditions, some feature points are hard to extract, so some fingerprints could not be identified by feature based techniques. In order to address this limitation, this research explores an efficient algorithm for fingerprint recognition based on hybrid features of Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and moment methods. The proposed technique can be applied for high accuracy fingerprint recognition task in biometric systems.