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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 biometrical 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.