近年來，由於生物資訊領域上的迅速發展，使用生物特徵做為身分的識別便成為了熱門的研究領域。其中，又以人臉辨識最為受到注目。人臉辨識因其取像容易且辨識過程為非接觸式，在應用上的範圍上極為廣泛，並且成為生物特徵辨識的主流研究之一。
同時，由於智慧型手機快速崛起，以及Google極力的推波助瀾下，免費且開放式的手機軟體平台—Android油然而生，各式各樣的軟體應用更是層出不窮，使得Android成為產學界爭相投入研究的熱門領域。
本論文主要的研究目的是，以局部方向特徵(Local Directional Patterns)權重為人臉紋理擷取基礎，之後再將局部方向特徵影像透過卡方距離計算相似度，去實現人臉辨識。同時，將該辨識系統實作到Android平台上，結合自行開發的門禁裝置，形成一套強而有力的資訊安全監控系統。

In recent years, biometric as the identity recognition has become a popular research field was due to the rapid development in biometric information. Face recognition was focused by academic research especially. Face recognition is easy to get its image and derived image for non-contact, It is largely applied in several areas. Moreover, it became the main purpose of biometric identification.

Also, smartphone rapid growth is often accompanied by free and open source architecture, so the mobile software platform - Android was born in 2008. Now, it was studied by student widely.

The main purpose of our paper is that use Local Directional Patterns to capture the facial texture, then calculated by chi-square distance as the identification method to face recognition. At the same time, the recognition system is implemented done on the Android platform, combined with self-developed access control devices, the formation of a strong information security monitoring system.

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