International Journal of Computer Science and Network Security
In biometric identification, fingerprints are most widely used. Fingerprint identification has become time consuming because of growing size of fingerprint databases. Fingerprint classification can be one of the significant preprocessing steps to improve the speed of fingerprint identification systems. Fingerprint Classification is done to put a given fingerprint to one of the existing classes. Classifying fingerprint images is a very difficult pattern recognition problem, due to the small interclass variability. In this paper a comparative analysis based on vector quantization for fingerprint classification using Kekre's Fast Codebook Generation (KFCG) is proposed using various codebook sizes and window sizes. KFCG is one of the better and faster vector quantization codebook generation methods.