摘要
针对PC平台体积大、功耗多、成本高和便携性差的问题,设计了基于面部特征的嵌入式安全认证终端。选用ARM11开发板作为硬件平台,Linux操作系统作为软件平台,并在平台上移植了Qt图像化界面库和Opencv计算机视觉库。人脸检测由Ada Boost算法实现,人脸识别由PCA(Principal Component Analysis)算法实现。测试结果表明,该终端能实现人脸识别的功能,并且识别精度较高,时间较短,达到预期目标。
According to the problems exist in the PC platform of large volume,high-power,high cost and poor portability,the author design an embedded terminal for secure authentication based on facial features. I choose ARM11 development board as the hardware platform,Linux operating system as the software platform,and use transplant Qt graphical interface library and Opencv computer vision library on the platform. Face detection was achieved by Ada Boost algorithm, face recognition was achieved by PCA（ Principal Component Analysis）algorithm. The test results show that this terminal can realize the function of face recognition,recognition accuracy is high and recognition time is short,the desired goal is achieved.
出处
《吉林大学学报（信息科学版）》
CAS
2016年第1期127-133,共7页
Journal of Jilin University（Information Science Edition）
基金
长春市物联网重大科技专项基金资助项目(2011144)
