首页> 外文会议>IEEE International Conference on Teaching, Assessment, and Learning for Engineering >Web and mobile based facial recognition security system using Eigenfaces algorithm
【24h】

Web and mobile based facial recognition security system using Eigenfaces algorithm

机译:基于特征脸算法的基于Web和移动的人脸识别安全系统

获取原文

摘要

The study was done in accordance with the deviation from the tradition to modernization of human identification with the purpose of both human convenience and technology maximization. The study aimed to proposed a facial recognition security system, as the main access level for private establishments in order to prevent unauthorized entry of an individual. Facial Recognition delivers convenience, for it is a concrete identification that an individual can have without the need of badges and many other identification cards. It administers efficiency on both the organization and its people. Problems related to stolen, borrowed and lost IDs, are eliminated; thus reducing the cost for password administration or renewal. Employing Eigenfaces algorithm to Facial Recognition to form a basis set of all images used to build the covariance matrix. The algorithm produces dimension reduction which allows the smaller set of basis images to represent the original training images. The effectiveness of using the prototype shows a robust security and preventive measure for unauthorized access within an establishment. The used of ISO9126 characteristics for evaluation produced a positive results to the prototypes effectiveness.
机译:这项研究是根据人类识别从传统到现代化的偏离,以人类方便和技术最大化为目的的。该研究旨在提出一种面部识别安全系统,作为私人机构的主要访问级别,以防止个人未经授权进入。面部识别可带来便利,因为它是个人无需徽章和许多其他识别卡即可获得的具体识别。它管理组织及其员工的效率。消除了与身份证件被盗,借用和丢失有关的问题;从而降低了密码管理或更新的成本。将Eigenfaces算法用于面部识别,以形成用于构建协方差矩阵的所有图像的基础集。该算法会产生降维效果,从而允许较小的一组基础图像代表原始训练图像。使用原型的有效性显示了针对企业内部未经授权访问的强大安全性和预防措施。使用ISO9126特性进行评估对原型的有效性产生了积极的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号