Abstract
In this paper, we propose a novel face recognition method by using vector projection, which uses vector projection length to evaluate the similarity of two image vectors in face image vector space. The projection length of a test image vector on direction of a training image vector can measure the similarity of the two images. But the decision cannot be made by only a training image which is the most similar to the test one. The mean image vector of each class also contributes to the final classification. Thus, the decision of the proposed vector projection classification (VPC) approach is ruled in favor of the maximum combination projection length. The performance of the proposed VPC approach is evaluated using two standard face databases; a comparative study with the state-of-the-art approaches illustrates the efficacy of the proposed VPC approach.
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Hu, C., Lu, X., Du, Y. (2014). A Novel Face Recognition Method Using Vector Projection. In: Sun, Z., Shan, S., Sang, H., Zhou, J., Wang, Y., Yuan, W. (eds) Biometric Recognition. CCBR 2014. Lecture Notes in Computer Science, vol 8833. Springer, Cham. https://doi.org/10.1007/978-3-319-12484-1_6
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DOI: https://doi.org/10.1007/978-3-319-12484-1_6
Publisher Name: Springer, Cham
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