Abstract
Accurate face recognition is very hard to achieve but very important in practical applications. We propose a neural network, based on recognition-by-recall paradigm, to improve the performance. We observe that human has remarkable capability in verifying if two photographs are from the same person or not, thus we devise a neural network to simulate the capability. We use eigen-face features to train the network and adopt a training method of the neural network to tolerate the errors in eye locations. The result shows that the verification performance of the system is very promising.
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Zhang, W., Guo, Y. (2000). Feature-Based Face Recognition: Neural Network Using Recognition-by-Recall. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_60
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DOI: https://doi.org/10.1007/3-540-44533-1_60
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