吴微,苑玮琦(沈阳工业大学视觉检测技术研究所, 沈阳 110870;沈阳大学信息工程学院, 沈阳 110041)
A survey of palm-vein image recognition
Wu Wei,Yuan Weiqi(Computer Vision Group, Shenyang University of Technology, Shenyang 110178, China;Information Engineering Department, Shenyang University, Shenyang 110041, China)
Human palm-vein is a permanent and unique physiological feature for each person. It hides under the skin and is difficult to duplicate because of its complex structure. Furthermore, palm vein images are difficult for candid shootings. All these characteristics make palm-vein a high security biometric feature. As a leading subject of biometrics technology, palm-vein image recognition has a wide prospect of application for its outstanding characters, such as high security. Palm vein image recognition has always been a research focus in recent years. This paper introduces the principle of palm-vein imaging first, then it provides a survey of the four stages for palm-vein image recognition: image acquisition, image preprocessing, feature extraction, and matching algorithms. According to different feature extraction approaches, we roughly group these algorithms into three categories: structure based, texture based, and subspace based methods. Finally, we conclude this paper describing the difficulty of palm-vein recognition technology and a discussion of future trends.