Finger vein recognition refers to a recent biometric technique which exploits the vein patterns in the human finger to identify individuals. Finger vein recognition faces a number of challenges. One critical issue is the performance of finger vein recognition system. To overcome this problem, a finger vein recognition algorithm based on one kind of subspace projection technology is presented. Firstly, we use Kapur entropy threshold method to achieve the purpose of intercepting region of finger under contactless mode. Then the finger vein features were extracted by 2DPCA method. Finally, we used of nearest neighbor distance classifier for matching. The results indicate that the algorithm has good recognition performance.

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Abstract-Three-dimensional reconstruction is used to get more detailed information on the current scenes such as the overlook of a city or a car. The process of reconstruction is based on binocular vision system. In this paper we apply binocular vision to quadrotors. As a result, more information is obtained in reconstruction when two quadrotors with cameras are searching in different circumstances. Video stabilization is used to guarantee the quality of images. Disparity map is computed by the semi-global stereo matching algorithm. The final reconstruction proves the proposed method to be effective.