An Identity Authentication System Based on Face Biometrics and Eye Localization
this paper presents a proposal for a person authentication system, which localizes facial landmarks and extracts biometrical features for face authentication. An efficient algorithm for eye localization and biometricai feature extraction and person identification is developed by using Gabor filters. We build artificial average eye models for eye location. Databases of biometrical features around the eye area of clients are constructed. For authentication, Schwartz inequality and the sum square error (SSE) are used. And experimental results on the proposed system are presented.
Gabor decomposition Biometrical feature Eye localization Client authentication
Zhiyi Qu Tao Wang Ruidong Zheng Yanmin Liu
School of Information Science & Engineering Lanzhou University Lanzhou, China
国际会议
长沙
英文
479-483
2010-03-13（万方平台首次上网日期，不代表论文的发表时间）