Abstract
In this paper, two new classifiers based on class mean (CM) and mean representation based classification (MRC), called improved class mean (ICM) and improved mean representation based classification (IMRC), are proposed for face recognition. ICM classifier uses the novel method to gain new mean vector of each class subspace for classification. IMRC classifier utilizes the novel class mean vector and decision rule for classification. A large number of experiments on AR face database and YaleB face database are used to assess the novel classifier. The experimental results show that the proposed classifier gains better recognition rate than MRC classifier, LRC classifier, CM classifier and nearest feature centre (NFC) classifier.
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Feng, Q., Pan, TS., Pan, JS., Tang, LL. (2015). Improved Mean Representation Based Classification for Face Recognition. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_195
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DOI: https://doi.org/10.1007/978-3-662-45402-2_195
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45401-5
Online ISBN: 978-3-662-45402-2
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