移动设备网络安全下人脸终端身份识别仿真

发布时间：2018-03-10 02:07

本文选题：移动设备　切入点：人脸终端　出处：《计算机仿真》2017年10期 　论文类型：期刊论文

【摘要】：移动设备网络安全下人脸终端身份识别,能够高效保证用户身份信息安全。人脸终端身份的认证,需要对人脸终端设备中内存资源进行分配引导,对人脸最优解集进行标注,完成身份识别。传统方法采集人脸特征图像并进行检测和跟踪,再匹配后台数据库人脸信息获得识别结果,但忽略了对人脸最优解集进行标注,导致识别精度偏低。提出基于人脸检测识别的人脸终端身份识别方法。利用Adaboost改进多形态人脸检测方法,根据肤色特征搜索出局部特征确定人脸方向,便于候选区域分割;基于识别信息差异性质量及最近邻分类法,对人脸终端设备中的人脸图像流数据实现内存资源分配引导,以提高脸部识别能力,对人脸最优解集进行标注并且选择出样本集置于移动设备内存中,实现移动设备网络安全的人脸终端身份识别。实验结果表明,利用提出认证方法能够良好实现移动设备身份识别。
[Abstract]:Face terminal identity recognition under mobile device network security can effectively guarantee the security of user identity information. The authentication of face terminal identity requires the allocation of memory resources in the face terminal equipment and the labeling of the face optimal solution set. The traditional method collects face feature image, detects and tracks, then matches the background database face information to obtain the recognition result, but neglects to annotate the face optimal solution set. The method of face terminal identification based on face detection and recognition is put forward. Using Adaboost to improve the multi-morphological face detection method, the local features can be searched according to the skin color feature to determine the direction of face, which is convenient for candidate region segmentation. Based on the difference quality of recognition information and the nearest neighbor classification, the memory resource allocation of face image stream data in face terminal equipment is guided to improve the ability of face recognition. The face optimal solution set is annotated and the sample set is selected to be placed in the memory of the mobile device to realize the mobile device network secure face terminal identity recognition. Using the proposed authentication method, mobile device identification can be realized well.
【作者单位】：潍坊科技学院;
【分类号】：TP391.41;TP393.08

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