Study Of Hand Vein Recognition Method

There are great changes happened in the human society following the advent of the information age. Information safety is looked more important. And the identity authentication has new connotation in the information age. The identity authentication technology based on biological characteristic has showed a great of advantages because of the use of inherent physiology and behavior characteristics of human. At present, some biological feature recognition technologies are very mature and have been using extensively, such as fingerprint recognition, and the research of some biological feature recognition technologies are also at the starting stage, such as the hand vein recognition.In this paper, the hand vein recognition is studied deeply. First, the theoretical foundation of hand vein recognition and some advantages of it compared to other biological feature recognitions. In the study work we found that there are three difficulties in hand vein recognition. They are obtaining the fulfilling requirements hand vein images, the threshold segmentation of the hand vein images and the feature extraction and matching method of hand vein images. In this paper, an ideal suit of hand vein recognition system is developed proceeding from these three difficulties of the hand vein recognition.In the hand vein image processing, preprocess the hand vein image first. Several dynamic threshold segmentation methods are used to segment hand vein image and the dynamic segmentation results is compared, a kind of new dynamic threshold segmentation is proposed which is suitable for the vein images -the Method of Image segmentation based on boundary. In the part of feature extraction and matching, many methods are tried, including the K-L transform method. A new matching method based on feature points is developed. The false feature points are got rid of first using the star model structure, then global matching is done based on the distances method. It came...