Automatic Imaging for Face Biometrics and Eye Localization

Sammanfattning: A proposal for a person authentication system, which localizes facial landmarks and extracts biometrical features for face authentication, is presented in this thesis. An efficient algorithm for eye localization and biometrical feature extraction and person identification is developed by using Gabor filters. In the eye localization part, we build artificial average eye models for eye location. In the person identification part, we construct databases of biometrical features around the eye area of clients and, for authentication, Schwartz inequality and the sum square error (SSE) are used. This project is implemented in the ‘Matlab’ programming language, on a personal computer system, and experimental results on the proposed system are presented.