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10.5120/15726-4657 |
Santosh Kumar, Atul Chaudhary, Manish Mathuria and Kailash Rathore. Article: An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation. International Journal of Computer Applications 89(17):38-43, March 2014. Full text available. BibTeX
@article{key:article, author = {Santosh Kumar and Atul Chaudhary and Manish Mathuria and Kailash Rathore}, title = {Article: An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation}, journal = {International Journal of Computer Applications}, year = {2014}, volume = {89}, number = {17}, pages = {38-43}, month = {March}, note = {Full text available} }
Abstract
Automated face recognition has industrialized a major field of Interest Face Recognition is the typical process of identification of a individual by their facial image. This effective technique Making it possible to use the facial images of a person to authenticate him into a protected system, for criminal identification, for passport verification, entrance control in buildings, access control at automatic teller machines the experimentation involved Eigen faces and PCA (Principal Component Analysis). Recognition rate of 90% was achieved using combination of PCA and region base colour segmentation face recognition techniques.
References
- Ming-Hsuan Yangwl David J. Kriegman and Na- rendra Ahuja, "Detecting Faces in Images", IEEE Transactions on Pattern Analysis and Machine Intel-ligence, vol 24, no. 1, pp. 696-706
- Kyungnam Kim, "Face Recognition using principal component analysis", USA, June 2000. Transaction Pattern Ana1ysis and Machine Intelligence 29 (1) (2007) 40–51.
- D. Zhao, Z. Liu, R Xiao, X. Tang, Linear Laplacian discrimination for feature extraction, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2007.
- Utah State University – Spring 2012 STAT 5570: Statistical Bioinformatics Notes 2. 4
- "Elementary Linear Algebra 5e" by Howard Anton, Publisher John Wiley & Sons Inc, ISBN 0-471-85223-6
- Issam Dagher and Rabih Nachar (2006). "Face Recognition Using IPCAICA Algorithm", IEEE transactions on Pattern Analysis and Machine Intelligence, vol. 28,
- Dr. H. B. Kekre et. al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 04, 2010, 959-964
- J. Yang, D. Zhang, and A. F. Frangi. Two-dimensional PCA: A new approach to appearance-based face representation and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(1):131– 137, 2004.
- A. A. Mohammed, R. Minhas, Q. M. Jonathan Wu, M. A. Sid-Ahmed Evaluation of face recognition technique using PCA, wavelets and SVM Pattern Recognition, Volume 44, Issues 10–11 elsevier2011
- Wankou Yang Laplacian bidirectional PCA for face recognition, Neuro computing, Volume 74,elsevier2010
- Karin Sobottka and Ioannis Pitas, "A Novel Method for Automatic Face Segmentation, Facial Feature Extraction and Tracking", Signal Processing: Image Communication, vol. 12, no. 3, pp. 263-281, 1998.