Face recognition based on PCA and logistic regression analysis |
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Authors: | Changjun Zhou Lan WangQiang Zhang Xiaopeng Wei |
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Affiliation: | Key Laboratory of Advanced Design and Intelligent Computing (Dalian University), Ministry of Education, Dalian 116622, China |
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Abstract: | Face recognition is an important research hotspot. More and more new methods have been proposed in recent years. In this paper, we propose a novel face recognition method which is based on PCA and logistic regression. PCA is one of the most important methods in pattern recognition. Therefore, in our method, PCA is used to extract feature and reduce the dimensions of process data. Afterwards, we present a novel classification algorithm and use logistic regression as the classifier for face recognition. The experimental results on two different face databases are presented to illustrate the efficacy of our proposed method. |
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Keywords: | PCA Logistic regression Linear regression Face recognition |
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