Efficient artificial hippocampus algorithm for biometric authentication system
Ming-Shou An, Jang-Hui Kim, Dae-Seong Kang · 2008
In this paper, we studied the face verification system using artificial Hippocampus algorithm which can remodel the hippocampus neuron as a principle of a man's brain in engineering, then it can learn the feature vector of the face images very fast and construct the optimized feature each image. The system is composed of two parts mainly. One is feature extraction using PCA and LDA mixture algorithm and the other is artificial hippocampus algorithm and recognition simulation experiment confirm the each recognition rate, which is low-level quality image. The results of experiments, we can compare a feature extraction and learning method proposed in this paper of any other methods, and we can confirm that the proposed method is superior to the existing method.