生物辨識(biometrics) 即利用生物的特徵唯一性來辨識。像是虹膜、指紋、臉、聲音...等。市面上已經推出許多使用生物辨識的商品，像是指紋解鎖，機場人臉辨識等，但是以上辨識方法有其偽造風險。 本篇是利用手指靜脈來當作生物特徵辨識，因為靜脈是屬於活體特徵，且位於皮膚內層較難以偽造。
本篇論文靜脈影像前處理去雜訊後，再強化影像，為了強化靜脈紋理，使用血管相似函數強化靜脈紋理，再對影像二值化。
前處理完成後把靜脈影像先分類以加快比對速度。最後特徵擷取使用ORB，最後使用漢明距離進行比對。

The biometric namely the use of unique biological characteristics to identify people. Like iris, fingerprint, face, voice characteristics and so on.
The market has been widely used the biometrics products in many commodities, such as use a fingerprint to unlock the cell phone, airports face recognition. But those existed risk to forgery. Hence we use finger vein to recognize people.
Finger vein recognition is use finger vein as biometric characteristic. The vein are parts of a living body characteristics, which located in the inner layer of skin. It is difficult to forge.
At beginning we reduce the noise of vein image, then use enhance the vein image. Then we use Frangi filter to enhance image of vein part. Due to the numerous vein image in the database. We classify the vein image .
Finally this paper use ORB to extract feature.We adopted Hamming distance to measure the similarity between two features in ORB technique.

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