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.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Norhafizah Hussin|
|Deposited On:||13 Jan 2009 03:25|
|Last Modified:||01 Jun 2010 15:54|
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