earticle

영어

A new finger vein recognition method based on two-dimensional principal component analysis (2DPCA) and kernel maximum between-class margin criterion (KMMC) is developed. The algorithm includes four stages. Firstly, perform preprocessing steps which include normalizing and mean-filtering on the finger vein images, secondly, employ the 2DPCA to condense the dimension of image vector, thirdly, apply the KMMC to reduce the dimension of training samples further, and finally, take the match and recognition step by computing the Euclidean distance between each sample. Our experimental results indicate that the new method has good recognition effect.