标题:Face recognition by feature extraction and classification
作者:Chen, Xinzheng ;Song, Lihong ;Qiu, Chaochao
作者机构:[Chen, Xinzheng ] School of Mechanical and Electrical Engineering, Linyi Vocational College, Linyi, China;[Qiu, Chaochao ] College of Electrical Engin 更多
会议名称:12th IEEE International Conference on Anti-Counterfeiting, Security, and Identification, ASID 2018
会议日期:November 9, 2018 - November 11, 2018
来源:Proceedings of the International Conference on Anti-Counterfeiting, Security and Identification, ASID
出版年:2019
卷:2018-November
页码:43-46
DOI:10.1109/ICASID.2018.8693198
摘要:This article proposed a combination of two algorithms, principal component analysis (PCA) and support vector machine (SVM), which was developed for face recognition. In the proposed technique, the face images were compressed into matrices using PCA and classified using SVM. To test and evaluate the performance of recognizing human faces, this project selected three face image databases, including Yale database, ORL database and Extended Yale Face Database B. All the face recognition rates were reasonable, and the highest face recognition rate was 98.75% for ORL database which subjects to training set number is 8 and 222 dimensions.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
TOP