A fingerprint identification algorithm: Combining image enhancement and chaos synchronisation classifier

Fingerprint identification is very popular among the identification in biometric security systems. The identification process comprises of image enhancement, feature extraction and pattern classification. The adjustment of grey scale values improves the intensity values of the image. A region mask is generated which provides a stable sampling window to extract features. Multiple CS based classifier along with maximum likelihood matching is used for pattern identification. Using the samples taken from FVC2002 database the performance of the proposed method is tested.