Gabor Filter Based Efficient Thermal and Visual Face Recognition Using Fusion Architectures

Fusion architecture for efficient visual and thermal face recognition biometric system is presented in this paper. Both Data fusion and decision fusion are employed in the architecture to improve the individual fusion performance. Gabor filter technique is used for recognition of features from input image and the database images. To our knowledge this is the first visual, thermal and fused-data (fusion of visual and thermal data) face recognition fusion recognition system, which utilizes Gabor filter for feature extraction. We have achieved the accuracy of above 98%. Paper also discusses the performance issues of memory and response time and defines new frontiers for fast and efficient recognition system.

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