A comparative study of feature extraction using PCA and LDA for face recognition
Feature extraction is important in face recognition. This paper presents a comparative study of reature extraction using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) for face recognition. The evaluation parameters for the study are time and accuracy of each method. The e...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/15091/1/A%20comparative%20study%20of%20feature%20extraction%20using%20PCA%20and%20LDA%20for%20face%20recognition260.pdf http://eprints.utem.edu.my/id/eprint/15091/ |
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