Hand vein patterns are unique and universal. Vein pattern is used as biometric feature in recent years. But, it is not very much popular biometric system as compared to other systems like fingerprint, iris etc, because of the higher cost. For conventional algorithm, it is necessary to use high quality images, which demand high-priced collection devices. There are two approaches for vein authentication, these are hand dorsa and hand ventral. Here we have put forward the new approach for low cost hand dorsa vein pattern acquisition. Images obtained from low cost IR-webcam can be enhanced with the help of denoising algorithm. Also, we propose an algorithm to extract features from the same.
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