Verification based on palm vein by estimating wavelet coefficient with autoregressive model

Abstract

Biometric is a pattern recognition system that automatically identifies people according to their physiologic and behavioral properties. Among the physiologic properties, hand has a special place so that all features of hand like palm lines, inner knuckles, external knuckles and geometry could be used. More recently, the usage of blood vessels pattern in the palm, in addition to the high acceptability, is considered by researchers due to the higher uniqueness and durability in comparison to the palm. In this article, the new method based on the estimate of wavelet coefficient with autoregressive model is used to extract the texture feature for verification. The features from the 600 palm images captured from 50 individuals are classified by the new methods of support vector machine and K-nearest neighbor classifier and eventually results in evaluation with equal error rate and Accuracy standards.