Fingerprint identification with LVQ

Abstract

Biometrics, which refers to identifying an individual based on his or her physiological or behavioral characteristics, has the capability to reliably distinguish between an authorized person and an imposter. This paper presents a high speed and low cost system for identification of fingerprints based on adaptive learning vector quantization neural network. The inkless images are acquired for this purpose using a digital still camera.