科技一詞已成為現代人不可或缺的東西，周圍總是充滿著科技產品，越來越多的產品也以科技為名相繼問世，如PDA、Smart phone、notebook還有金融卡、電子錢包和網路銀行等，都為人類的生活帶來了相當多的便利，但在便利的同時，也帶來了安全性的隱憂，為了解決這些問題，並同時維持原有的便利性，藉由生物特徵辨識的方法也相繼問世。
在各種不同的生物辨識方法中，最近幾年又以靜脈辨識最為風行，這是利用紅外線照射手掌或手指所呈現出來的靜脈血管生物特徵來進行辨識，目前有掌靜脈、指靜脈、手背靜脈及手腕等部分，但一般還是以掌靜脈和指靜脈為主流。
本論文將利用手指上較少的特徵值來達到辨識的效果，首先利用高斯平滑(Gaussian smoothing)對所擷取的靜脈影像進行影像強化處理，再將影像依門檻值進行二值化，並將影像細化，以擷取特徵點(邊點及三岔點)，計算這些特徵點間的距離當作比對的依據，以此方法可抵抗些微的旋轉與平移破壞，最後再搭配以紋路的相似度進行第二次的比對，可彌補單以距離作為特徵值比對的不足，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。

The technology has become indispensable to modern science. Technology products are always full of around us. More and more products of technology have come out .Such as PDA, Smart phone, notebook also debit cards, electronic wallets and Internet banking... brings convenient to our life . On the other hand it also brings security concerns. In order to solve these problems, the recognition methods related to biometric one after another.
The vein recognition is the most popular in recent years. It uses the infrared LED irradiate fingers or palms to visualize the presentation of the vein biological characteristics .There are palm vein, finger vein, dorsal vein and wrist and some other. But in general, palm vein and the finger vein is the mainstream.
This paper will use fewer the characteristics of fingers to do identify work. Firstly, we use Gaussian smoothing to do image enhancement. Secondly, we do the binaries according to the threshold value, then we thinning the image. In order to extract feature points (bifurcate points). Then calculate the distance between these feature points as a basis for matching. This method can resist a slight rotation and translation. Finally, we use the similarity of the vein shape to do the second matching. Make up the insufficiency that only uses the distance matching method. The experimental results confirm the method has the higher Identification rate, does not have the invasion and low cost than other papers.

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