Classification of Fingerprint Using KMCG Algorithm

Abstract- Fingerprints are the most widely used form of biometric identification. Fingerprint Classification is done to associate a given fingerprint to one of the existing classes. Classifying fingerprint images is a very difficult pattern recognition problem. In this paper for classifying fingerprint a fresh technique based on vector quantization using KMCG algorithm is implemented. Vector Quantization is a lossy data compression technique used in various applications. Fingerprint Classification is implemented using KMCG with codebook of size 8 and window size 8x8. The proposed approach provides an overall accuracy of 80 by taking smaller computations as compared to conventional fingerprint classification techniques.