| Summary: | 碩士 === 國立臺灣科技大學 === 資訊工程系 === 100 === In 20th century, electronic information let people have convenient life in the Global village. After 21s century, life become blend of intelligent technology gradually, but humans just not use intelligent technology to get information in a network, they also want use intelligent technology to create more convenient and comfortable life. If the technology is closely related to the life, then the technology safe is particularly important.
Biometrics recognition is very popular in recent years, that use humans face、iris、voice、fingerprint to recognize, and the biometrics recognition mainstream become vein recognition. The vein recognition using Near-Infrared to illuminate the back of a hand、wrist、palm or finger to get the vein images form camera, and then use vein images to take features to recognize. Vein recognition is vital identification so it’s very difficult to forge and fake.
Our proposed is use few features in the finger to identification. First to do normalization aimed at finger vein image on camera, second we use improve POSHE and Sobel to enhance the vein in finger vein image, then final we use SURF(Speeded Up Robust Features) to extraction and matching of finger-vein patterns. The experiment has proved that our proposed have high estimate、convenience and low cost.
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