生物特徵辨識是近年來相當受重視的研究課題，主要是利用人體生理或行為特徵進行身分識別。本研究所採用的手掌靜脈資訊，便屬生物特徵辨識的一種實現。人體的靜脈資訊於成年後其結構上大致呈現穩定的分佈，並具備單一存在的特性。又因資訊位於皮膚內層且屬於活體辨識，隱匿性高不易仿造，因此在眾多生物特徵中，被視為極具潛力與優勢的選擇。
本研究設計了一套全新的手掌靜脈資訊擷取裝置，該裝置能確實地固定手掌位置與手掌肌肉伸展的程度，為辨識上提供良好的偵測環境基礎。在靜脈辨識系統上，提出了兩階段的雙重特徵辨識：(1)Harris角點的CCH特徵；(2)Gabor-Min紋理重建強化後之SURF特徵。系統同時建立歷史記錄更新的機制，有助於整體辨識率的提升與確保長期使用下的穩定性。經實驗數據證實，與先前論文比較，本論文的硬體機構設計與提出的辨識方法擁有較高的辨識率及低成本的優勢。

One of the most enlightened subjects in science field these years is Biometric – which recognizes one’s identity through either his physiological or behavioral characteristics. And our research in adopting the information of palm vein is the realization of Biometric. One person’s vein information mostly remains stable in its pattern as growing older, and carries its unity. Also, because this information is ingrained deeply in a skin, the information for Vivo Identification, it could not be possibly duplicated thanks to its high occultation. Therefore, Palm Vein Feature is regarded as the most potential and advantageous option out of many Bio-Characteristics.
In this study, we come out of a whole new design which is able to firmly fix one’s palm position and the degree of (palm) muscle stretch, providing a better detecting environment of identification. Also, in the palm vein identification system, we put forward the two-phased multiple feature identification – Harris corner vector of CCH (Contrast Context Histogram), and the SURF (Speeded Up Robust Features) vector based on Gabor-Min texture reconstruction. This system also creates a mechanism of updating historical records, which helps increasing the accuracy of identification and the stability under long-time use. Proved by experimental results, and to compare with former thesis, this thesis including hardware design and the proposition of identifying method in it, truly has advantages of higher recognizing ratios and lower costs.

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