Fingerprint Verification Using Gabor Co-occurrence Features

The biometric techniques based on face, iris and fingerprints are used in order to provide strong security. Out of which, Fingerprint identification effects far more positive identifications of persons worldwide than any other human identification procedure. The most widely used minutia based techniques find difficulty in matching the two finger prints with unregistered minutia points and also it is difficult to extract complete ridge structures in finger prints automatically. This paper presents an efficient Gabor Wavelet Transform (GWT) based algorithm for finger print verification for personal identification. This GWT based method provides the local and global information in fixed length finger code. The finger print matching is done by means of finding the Euclidean distance between the two corresponding Finger codes and hence matching is extremely fast. Key words: Biometrics, Finger Code, fingerprint classification, Gabor filters