Face identification and verification using PCA and LDA
Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. PCA is recognized as an optimal method to perform dimension reduction, yet being claimed as lacking discrimination ability. LDA o...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2008
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| Online Access: | http://eprints.utm.my/7644/1/Sheikh_Hussain_Shaikh_2008_Face_Identification_and_Verification_Using.pdf http://eprints.utm.my/7644/ |
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| _version_ | 1845471849922691072 |
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| author | Chan, Lih Heng Shaikh Salleh, Sheikh Hussain Ting, Chee Ming Ariff, Ahmad Kamarul |
| author_facet | Chan, Lih Heng Shaikh Salleh, Sheikh Hussain Ting, Chee Ming Ariff, Ahmad Kamarul |
| author_sort | Chan, Lih Heng |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. PCA is recognized as an optimal method to perform dimension reduction, yet being claimed as lacking discrimination ability. LDA once proposed to obtain better classification by using class information. Disputes over the comparison of PCA and LDA have motivated us to study their performance. In this paper, we describe both of these statistical subspace methods and evaluated them using The Database of Faces which comprises 40 subjects with 10 images each. Both identification and verification results have revealed the superiority of LDA over PCA for this medium-sized database. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-7644 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2008 |
| record_format | eprints |
| spelling | my.utm.eprints-76442010-06-01T15:54:14Z http://eprints.utm.my/7644/ Face identification and verification using PCA and LDA Chan, Lih Heng Shaikh Salleh, Sheikh Hussain Ting, Chee Ming Ariff, Ahmad Kamarul TK Electrical engineering. Electronics Nuclear engineering Algorithms based on PCA (Principal Components Analysis) and LDA (Linear Discriminant Analysis) are among the most popular appearance-based approaches in face recognition. PCA is recognized as an optimal method to perform dimension reduction, yet being claimed as lacking discrimination ability. LDA once proposed to obtain better classification by using class information. Disputes over the comparison of PCA and LDA have motivated us to study their performance. In this paper, we describe both of these statistical subspace methods and evaluated them using The Database of Faces which comprises 40 subjects with 10 images each. Both identification and verification results have revealed the superiority of LDA over PCA for this medium-sized database. 2008-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7644/1/Sheikh_Hussain_Shaikh_2008_Face_Identification_and_Verification_Using.pdf Chan, Lih Heng and Shaikh Salleh, Sheikh Hussain and Ting, Chee Ming and Ariff, Ahmad Kamarul (2008) Face identification and verification using PCA and LDA. In: Information Technology, 2008. ITSim 2008. International Symposium, 26-28 Aug 2008, Kuala Lumpur, Malaysia. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Chan, Lih Heng Shaikh Salleh, Sheikh Hussain Ting, Chee Ming Ariff, Ahmad Kamarul Face identification and verification using PCA and LDA |
| title | Face identification and verification using PCA and LDA |
| title_full | Face identification and verification using PCA and LDA |
| title_fullStr | Face identification and verification using PCA and LDA |
| title_full_unstemmed | Face identification and verification using PCA and LDA |
| title_short | Face identification and verification using PCA and LDA |
| title_sort | face identification and verification using pca and lda |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/7644/1/Sheikh_Hussain_Shaikh_2008_Face_Identification_and_Verification_Using.pdf http://eprints.utm.my/7644/ |
| url_provider | http://eprints.utm.my/ |