Dayan Zhuang

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As a kind of biometric feature authentication system, hand vein recognition has more merits than others. So it has a vast foreground. In this paper, a new algorithm based on multi supplemental features of multi-classifier fusion decision is proposed. It overcomes the disadvantages of the single feature recognition. Experimental results indicate that the(More)
The vein recognition was introduced simply at first. Then the relatively important part image processing in recognition process was discussed deeply. Every method was studied and compared with each other. At last, the best scheme was found out for the hand vein recognition. A new segmentation method based on boundary was proposed for infrared imagery and we(More)
For exactly segmenting the object in the image, an algorithm of image segmentation according to PSO (particle swarm optimization) and snake model was proposed. The PSO has some advantages, such as the global optimization, sensitive degree low for noise. The drawbacks of the traditional snake model which are the high noise sensitive degree and local(More)
Getting the contour of the object based on the snake model is an important method in the image segmentation. In this paper the authors first introduce the theory of the traditional snake model. A new snake model based on a dot which is in the object is proposed for avoiding some drawbacks in the traditional snake model. The algorithm not only inherits the(More)
  • Neha Bhanushali, Pooja Nikam, +14 authors Kejun Wang
  • 2015
Palm Vein Recognition (PVR) technology uses a near-infrared light to capture a user's palm vein pattern, generating a unique biometric template that is matched against pre-registered users' palm vein patterns. It is a contactless authentication technology that offers an easy-to-use, hygienic solution to verify identity. This advanced, vascular(More)
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