Volume- 3
Issue- 4
Year- 2015
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Jageshvar K. Keche , Dr. Mahendra P. Dhore
This paper presents a new feature extraction technique for recognizing human faces. The proposed method uses hybrid feature extraction techniques such as Principal Component Analysis and Gabor Wavelet are combined together. The classifier k-Nearest Neighbor is used for classification. For experimentation JAFEE and YALE face databases are used to test and achieved better performance of proposed method. The performance of proposed method on JAFFE and Yale face database are compared with known other methods.
[1] Website:http://www.nec.com/en/global/solutions/biometrics/technolog ies/face_recognition.html
[2] Jiarui Zhou, Zhen Ji, Linlin Shen, Zexuan Zhu and Siping Chen, "PSO Based Memetic Algorithm for Face Recognition Gabor Filters Selection", IEEE Conference Memetic Computing (MC), 2011, pp.1-6.
[3] S. K. Hese and M. R. Banwaskar, “Performance Evaluation of PCA and LDA for Face Recognition”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) ISSN: 2278 – 909X, Volume 2, Issue 2, February 2013, pp. 149-154.
[4] M. Turk and A. Pentland “Eigenfaces for Recognition”, J. Cognitive NeuroScience, vol. 3, pp. 71-86, 1991.
[5] Liton Chandra Paul and Abdulla Al Sumam, “Face Recognition Using Principal Component Analysis Method”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) ISSN: 2278 – 1323, Volume 1, Issue 9, November 2012.
[6] R. O. Duda, P. E. Hart and D. G. Stork, Pattern Classification, 2nd Edition, Wiley Interscience, 2001.
[7] P. N. Belhumeur, J. P. Hespanha and D. J. Kriegman, Eigenfaces vs fsherfaces: Recognition using class specific linear projection, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.19, no.7, pp.711-720, 1997.
[8] W. S. Lee, H. J. Lee and J. H. Chung, Wavelet-based FLD for face recognition, Proc. of the 43rd IEEE Midwest Symposium, Circuits and Systems, vol.2, pp.734-737, 2000.
[9] H. K. Ekenel and R. Stiefelhagen, Analysis of local appearance-based face recognition: Effects of feature selection and feature normalization, In CVPR Biometrics, Workshop, pp.34-34, 2006.
[10] T. Ojala, M. Pietikainen and T. Maenpaa, Multi-resolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans. Pattern Analysis and Machine Intelligence, vol.24, no.7, pp.971-987, 2002.
[11] C. Liu and H. Wechsler, A Gabor feature classifier for face recognition, Proc. of the 8th IEEE International Conference on Computer Vision, vol.2, pp.270-275, 2001.
[12] S. Yan, H. Wang, X. Tang and T. S. Huang, Exploring feature descriptors for face recognition, International Conference on Acoustics, Speech, and Signal Processing, vol.1, pp.629-632, 2007.
[13] Shishir Bashyal and Ganesh K. Venayagamoorthy, "Recognition of facial expressions using Gabor wavelets and learning vector quantization", Engineering Applications of Artificial Intelligence 21 (2008) 1056–1064.
[14] Tudor Barbu, "Gabor Filter-Based Face Recognition Technique", Proceedings of the Romanian Academy, Series A, Volume 11, Number 3/2010, pp. 277–283.
[15] Yuehui Chen, Shuyan Jiang, and Ajith Abraham, " Face Recognition Using DCT and Hybrid Flexible Neural Tree", 0-7803-9422-4/05 ©2005 IEEE.
[16] Sangeeta Kakarwal and Ratnadeep Deshmukh, "Wavelet Transform based Feature Extr actionfor Face Recognition", International Journal of Computer Science and Application Issue 2010, pp.100-104.
[17] 17. Bruce A. Draper, Kyungim Baek, Marian Stewart Bartlett, and J. Ross Beveridge, "Recognizing faces with PCA and ICA", Computer Vision and Image Understanding 91 (2003) pp.115–137.
[18] Seyed M. Lajevardi and Zahir M. Hussain, "Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions", Advances in Electrical and Computer Engineering, Volume 9, Number 3, 2009.pp.63-67.
[19] Kuldeep Singh Sodhi and Madan Lal, "Comparative Analysis of PCA-based Face Recognition System using different Distance Classifiers", International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 7, July 2013.
[20] Liton Chandra Paul and Abdulla Al Sumam, “Face Recognition Using Principal Component Analysis Method”, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) ISSN: 2278 – 1323, Volume 1, Issue 9, November 2012.
[21] B.Poon, M. Ashraful Amin, Hong Yan “Performance evaluation and comparison of PCA Based human face recognition methods for distorted images” International Journal of Machine Learning and Cybernetics, , Vol 2, No. 4,pp. 245–259, July 2011. Springer-Verlag 2011.
[22] C. Liu and H. Welchsler, "Gabor feature classifier for face recognition", in processing of the ICCV, Vol. 2, No. 5, pp 270-275, 2001.
[23] Jian Wang, Jian Cheng, "Face Recognition Based on Fusion of Gabor and 2DPCA Features", in International Symposium on Intelligent Signal Processing and Communication Systems, December 2010, pp. 1-4.
[24] Zhao Lihong, Yang Caikun, Pan Fen, Wang Jiahe, "Face Recognition Based on Gabor with 2DPCA and PCA", in Control and Decision Conference (CCDC), 2012 24th Chinese, pp. 2632-2635.
[25] C. Magesh Kumar, R.Thiyagarajan, S.P.Natarajan, S.Arulselvi, "Gabor features and LDA based Face Recognition with ANN classifier", In International Conference Emerging Trends in Electrical and Computer Technology (ICETECT), 2011, pp. 831-836.
[26] T.M. Cover and P.E. Hart, “Nearest neighbor pattern classification”, IEEE transaction in information theory, Vol 13, pp. 21-27, Jan 1967.
[27] Nitin Bhatia and Vandana, “Survey of Nearest Neighbor Techniques”, International Journal of Computer science and Information Security, Vol.8, No.2, 2010.
[28] K M Poornima, Ajit Danti, S K Narasimhamurthy , "Wavelet Based Face Recognition using ROIs and k-NN", International Journal of Innovations in Engineering and Technology (IJIET),Vol. 3 Issue 2 December 2013,ISSN: 2319 – 1058,pp.56-63.
[29] http://www.kasrl.org/jaffe_download.html
[30] http://vision.ucsd.edu/datasets/yale_face_dataset_original/yalefaces.zi p
[31] Y.Shinohara and N.Otsu, “Facial Expression Recognition Using Fisher Weight Maps”, IEEE Conf. on Automatic Face and Guesture Recognition, pp. 499-504, 2004.
[32] M.Lyons, J.Budynek, and S.Akamastu, “Automatic Classification of Single Facial Images”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, pp. 1357-1362, 1999.
[33] Huang, M.W.; Wang, Z.W.; Ying, Z.L., “A novel method of facial expression recognition based on GPLVM Plus SVM”, ICSP, pp. 916-919, 2010.
[34] Mingwei Huang; Zhen Wang; Zilu Ying, “Facial expression recognition using Stochastic Neighbor Embedding and SVMs”, ICSSE, pp. 671-674, 2011.
[35] C. Shan, S. Gong, and P. McOwan. “Facial expression recognition based on local binary patterns: A comprehensive study” Image and vision Computing, 27(6):803–816, May 2009.
[36] Ripal Patel, Nidhi Rathod, Ami Shah, and Mayur Sevak, "Face Recognition using Eye Distance and PCA Approaches", (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (1) , 2014,84-87.
[37] Zhou, D., Yang, X., Peng, N. and Wang, Y., "Improved-LDA based face recognition using both facial global and local information", Pattern Recognition Letters, 536-543, 2006..
Department of Computer Science, SSESA’s, Science College, Congress Nagar, Nagpur (MS), India, 9850325524,
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