在二十世紀電子資訊提供了人類便利的生活及人類零距離的地球村。在二十一世紀漸漸走向智慧科技生活，人類所追求的不在僅僅只是利用科技的到資訊，而是更進一步的利用將科技步入生活中。既然，科技與人類生活息息相關，那麼，科技的安全性就顯得格外重要。

生物辨識是這近十幾年來相當重要的研究之一，從利用人臉做辨識，在進一步到由虹膜、聲紋、指紋，而近幾年又以靜脈變是最為風行。利用近紅外線的特性來照射手掌或手指而呈現出的靜脈影像進行辨識，目前常見的靜脈生物辨識系統，有利用手背靜脈與手腕靜脈來做辨識，但普遍還是以手掌靜脈與手指靜脈為主流。靜脈辨識為活體辨識，相較於先前的生物辨識，靜脈辨識是最難被偽造及做假。

本論文將利用手指上較少的特徵值來達到辨識的效果，首先先針對截取到的靜脈影像做校正，再利用改良式POSHE對校正後的靜脈影像進行影像強化處理，再將影像做Sobel filter來強化手指靜脈的紋理，最後再利用SURF(Speeded Up Robust Features) 進行特徵擷取與比對，經實驗的數據證實，與之前論文所用的方法比較，實驗結果顯示了此方法擁有較高的辨識率、便利性及低成本的優點。

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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