抽象的な
Local entropy-based adaptive-weight LBP for face recognition
Jiang Xiaoping, Ren Guangxing, Zhang hua
To increase the success rate of face recognition, a local entropy-based adaptive-weight Local Binary Patterns (LBP) for face recognition is proposed in this paper. The entropies of different facial regions are adopted to define the contributions of different facial regions for face recognition adaptively, and then, weight-based method is adopted for face recognition in this paper. Simulation results show that this method has a high success rate of face recognition.
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