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2010 International Conference on Advances in Recent Technologies in Communication and Computing
Face Recognition by Regularized-LDA Using PRM
Kottayam, Kerala India
October 16-October 17
ISBN: 978-0-7695-4201-0
| ASCII Text | x | ||
| Lingraj Dora, N.P. Rath, "Face Recognition by Regularized-LDA Using PRM," Advances in Recent Technologies in Communication and Computing, International Conference on, pp. 140-145, 2010 International Conference on Advances in Recent Technologies in Communication and Computing, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/ARTCom.2010.50, author = {Lingraj Dora and N.P. Rath}, title = {Face Recognition by Regularized-LDA Using PRM}, journal ={Advances in Recent Technologies in Communication and Computing, International Conference on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4201-0}, pages = {140-145}, doi = {http://doi.ieeecomputersociety.org/10.1109/ARTCom.2010.50}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Advances in Recent Technologies in Communication and Computing, International Conference on TI - Face Recognition by Regularized-LDA Using PRM SN - 978-0-7695-4201-0 SP140 EP145 A1 - Lingraj Dora, A1 - N.P. Rath, PY - 2010 KW - Face recognition KW - Eigenface KW - Fisherface KW - linear discriminant analysis (LDA) KW - Regularized-LDA (R-LDA) KW - probabilistic reasoning model (PRM) VL - 0 JA - Advances in Recent Technologies in Communication and Computing, International Conference on ER - | |||
Face recognition has received an increased attention from several years in the field of image analysis, pattern recognition, and computer vision. In this paper we propose a method to the problem of face recognition. The proposed method consists of two stages. In the first stage regularized linear discriminant analysis is used to extract the most significant and discriminant features and then in the second stage, these features are used by probabilistic reasoning model for classification of unknown face images. Here two databases, the ORL database and the UMIST database are used for experiments and to show the performance of the proposed method.
Index Terms:
Face recognition, Eigenface, Fisherface, linear discriminant analysis (LDA), Regularized-LDA (R-LDA), probabilistic reasoning model (PRM)
Citation:
Lingraj Dora, N.P. Rath, "Face Recognition by Regularized-LDA Using PRM," artcom, pp.140-145, 2010 International Conference on Advances in Recent Technologies in Communication and Computing, 2010
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