CAJ | 학술논문

Android移动设备的普及和其日渐丰富的功能，使其极大地融入了人们的生活，同时人们也对Android设备的信息安全提出了更高的要求。随着人脸识别技术的不断发展，人脸识别技术在现实生活中开始成功应用，成为一种有效的安全防护手段。文章围绕人脸识别技术，设计和实现了Android平台上的隐私保护系统。考虑到Android设备计算能力和存储能力的局限性，人脸识别的各个步骤使用了基于Haar特征的AdaBoost人脸检测算法和基于局部二值特征（LBP）的特征提取算法等简单高效的算法。文章最终实现了Android平台上的人脸识别系统，用人脸识别和文件加密对设备进行访问控制。
Android이동설비적보급화기일점봉부적공능，사기겁대지융입료인문적생활，동시인문야대Android설비적신식안전제출료경고적요구。수착인검식별기술적불단발전，인검식별기술재현실생활중개시성공응용，성위일충유효적안전방호수단。문장위요인검식별기술，설계화실현료Android평태상적은사보호계통。고필도Android설비계산능력화존저능력적국한성，인검식별적각개보취사용료기우Haar특정적AdaBoost인검검측산법화기우국부이치특정（LBP）적특정제취산법등간단고효적산법。문장최종실현료Android평태상적인검식별계통，용인검식별화문건가밀대설비진행방문공제。
With the popularization of Android devices, they have become a part of our lives. At the same time, the information security of Android devices comes into the picture. As the development of face recognition, it has been successfully used in real life. Face recognition is an effective approach of security protection. This paper focuses on face recognition technology, designs and implemen of privacy protection system on Android. Considering the limitation of calculation and storage on Android mobile devices, this paper uses the simple and effective algorithms such as AdaBoost face detection algorithm base on Haar-like features and Local Binary Pattern (LBP) operator. This paper finally realizes face recognition on Android.