A Study Of Finger Venous Pattern Authentication

With the rapid development of society informationize, digital and networking, biometric technology is considered as an important technology for information security. Compare with other biometric authentications, the finger vein recognition technology has many advantages. Firstly the finger vein is not easy to be daily damaged. Secondly it is hard to deform. And it is a living body recognition with interior characteristic. Therefore it is become a major concern.In this paper, the finger vein image collection and authentication are conduct for in-depth study. The main work includes:1. We have designed and implemented a primal finger vein image acquisition device which based on infrared light. It build a preliminary base for latter to make a ripe device.2. Proposes a promising finger vein image enhancement algorithm. Under the constraint that keeps original characteristic of finger vein, the method improves contrast of images. The uneven distribution of image grey of the image can be also resolved.3. Proposes the method based on surface curvature for roof edge detection to extract the vena framework. It can obtain one pixel framework from finger vein image directly. In traditional process the one pixel framework should be acquired after the vena segmented from original image. In contrast with the traditional process the proposed method is more simply and has high precision. After the vena framework has been obtained, the least-squares approximation beeline method is proposed to get the line feature. By constructing a sparse matrix we can get stable dimension of feature vector.4. Finally, this paper fuse four features by quaternion modulus, this algorithm is straightforward, and get high recognition rate.