A face recognition attendance checking method and device

• Main Authors: SONG JIANBIN, LIU HUAHAO, ZHANG QING, WU WUXUN, ZOU DONGJIE, WANG LIQIANG, WU DONGDONG
• Format: Patent
• Language: Chinese; English
• Published: 10.05.2019
• Subjects: ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDEDFOR ELSEWHERE; CALCULATING; CHECKING-DEVICES; COMPUTING; COUNTING; GENERATING RANDOM NUMBERS; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; TIME OR ATTENDANCE REGISTERS; VOTING OR LOTTERY APPARATUS

The invention relates to a face recognition method and device. The method comprises the steps of collecting a face image from multiple angles; respectively detecting a human face in the human face image by using a deep convolutional neural network method; carrying out face registration on the face images at multiple angles by using an affine transformation method; carrying out alignment, extracting face features through rapid analysis, the face features at multiple angles are compared with data in an attendance face information database, whether the face features are personnel in a to-be-attendance face information base or not is judged, system resources are avoided, unnecessary analysis and detection are avoided, non-cooperative face recognition is rapidly carried out, and the recognitionefficiency is improved. 本发明涉及一种人脸识别的方法和装置，通过从多角度采集人脸图像；分别应用深度卷积神经网络方法将人脸图像中的人脸检测出来后，使用仿射变换方法对多个角度的人脸图像进行人脸配准、对齐，分别进行快速分析提取人脸特征，多个角度下的人脸特征分别与考勤人脸信息数据库中数据进行比对，判断是否是待考勤人脸信息库中人员，避免系统的资源，避免非必要的分析检测，快速进行非配合式的人脸识别，提高了识别效率。