Palm vein recognition using curvelet transform
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Fake finger-vein image detection based on Fourier and wavelet transforms
Digital Signal Processing
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The vein identification systems identify a certain person by acquiring the local infrared image of hand (dorsa, palm and finger) and extracting vein pattern. The vein identification systems are widely used in security and surveillance field, but most of them ignore the liveness detection requirement or only check the temperature to prevent spoofing. After studying the spoofing method for vein identification systems in the market, this paper presents a kind of liveness detection method based on an optical measurement for sequence infrared images. The vein images are related with vital signs such as oxygen saturation in human blood and heart rate. Two kinds of different algorithm are used for feature extraction, one for vital signs detection, the other for identification. The distinguish processor can integrate all kinds of information data to make an estimation. This method can prevent the identification spoofing and improve the security capability of vein identification system.