A method of personal authentication by shape recognition of the lips and front teeth
MACMESE'09 Proceedings of the 11th WSEAS international conference on Mathematical and computational methods in science and engineering
Efficient face recognition for wireless surveillance systems
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Global optimization of support vector machines using genetic algorithms for bankruptcy prediction
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Discriminant phase component for face recognition
Journal of Electrical and Computer Engineering
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Though biometrics to authenticate a person is a convenient tool, typical authentication algorithms by using biometrics may not be executable on the memory-constrained devices such as smart cards. We present a solution of a face authentication algorithm for open issue. Our achievement is two-fold. One is to present a face authentication algorithm with low memory requirement, which uses support vector machines (SVM) with the feature set extracted by genetic algorithms (GA). The other contribution is to suggest a method to reduce further, if needed, the amount of memory required in the authentication at the expense of verification rate by changing a controllable system parameter for a feature set size. Given a pre-defined amount of memory, this capability is quite effective to mount our algorithm on memory-constrained devices. Our experimental results show that the proposed method provides good performance in terms of accuracy and memory requirement.