%0 Journal Article %A XU Xiaoyu %A YAO Peng %T Palm vein recognition algorithm based on HOG and improved SVM %D 2016 %R %J Computer Engineering and Applications %P 175-180 %V 52 %N 11 %X As a new emerging kind of biometrics technology, it plays an increasingly important influence and application in various security fields with the progress of the times. This paper presents an improved palm vein image preprocessing methods, using a pixel gray value mapping to enhance the image of the vein textures to remove other distractions. For palm vein texture feature extraction and recognition, this paper presents a palm vein recognition algorithm based on Histogram of Oriented Gradients(HOG) and improved Threshold Support Vector Machine(T-SVM) to better adapt to the palm vein recognition features. The experimental results demonstrate that the proposed algorithm can not only be more rapid identification and recognition rate but also reach a high accuracy. %U http://cea.ceaj.org/EN/abstract/article_34534.shtml