Published In : IJCSN Journal Volume 5, Issue 5

Date of Publication : October 2016

Pages : 763-769

Figures :06

Tables : 02

 

Mahendra Kumar : is Faculty with Department of Electronics & Communication Engineering, University College of Engineering, RTU, Kota, India.

Rohit Giri : is M.Tech Scholar with the Department of Electronics & Communication Engineering, Mewar University, Chittorgrah , Rajasthan ,India

Shipla Jangid : is Faculty with the Department of Electronics & Communication Engineering, Mewar University, Chittorgrah , Rajasthan ,India

 

 

 

 

 

 

 

Face Recognition (FR), Directional Discrete Cosine Transform (DDCT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Sobel Edge Detection (SED), SOM Neural Network, DCT-PT

This paper present’s a novel face recognition technique that uses features derived from DCT-PT, DDCT, DCT, DWT, Sobel coefficients, along with a SOM-based classifier. The system was evaluated in MATLAB using an image database of 30 face images, containing six subjects and each subject having 5 images with different facial expressions. After training for approximately 1000 epochs the system achieved a recognition rate of as shown in table 1 for 5 consecutive trials. A reduced feature space, described for experiment, dramatically reduces the computational requirements of the methods. DCT-PT feature extraction method gives better results compared to DDCT, DWT, DCT and SED methods as shown in table 2. This makes our system well suited for high speed, lowcost, real-time hardware implementation.

 

[1] M. A. Turk and A. P. Pentland, “Face recognition using eigenfaces,” Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 586- 591, June 1991. [2] X. He, S. Yan, Y. Hu, P. Niyogi, and H. Zhang, “Face recognition using Laplacian faces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 328-340, 2005. [3] Y. Bai, L. Lianwen Jin, and Q. Huang, “Novel face recognition approach based on steerable pyramid feature,” IEEE International Conference on ICIP2009, Cairo, Egypt, pp. 4165-4168, 2009. [4] Z. M. Hafed and M. D. Levine, “Face recognition using the discrete cosine transform,” International Journal of Computer Vision, vol. 43, no. 3, pp. 167- 188, 2001. [5] H. K. Ekenel and B. Sankur, “Mult-resolution face recognition,” Image and Vision Computing, vol. 23, pp. 469–477, 2005. [6] C. Garcia, G. Zikos, and G. Tziritas, “Wavelet packet analysis for face recognition,” Image and Vision Computing, vol. 18, no. 4, pp. 289–297, 2000. [7] L. Shen and L. Bai, “A review on Gabor wavelets for face recognition,” Pattern Analysis and Applications, vol. 9, no. 2, pp. 273-292, 2006. [8] D. Kim, I. Jeon, S. Y. Lee, P.K. Rhee, and D. J. Chung, “Embedded face recognition based on fast genetic algorithm for intelligent digital photography,” IEEE Transactions on Consumer Electronics, vol. 52, no. 3, August 2006. [9] D. Koller, and M. Sahami, “Towards optimal feature selection,” In ICML1996, Bari, Italy, pp. 87–95, 1996. [10] M. Raymer, W. Punch, E. Goodman, L. Kuhn, and A. Jain, “Dimensionality reduction using genetic algorithms,” IEEE Transactions on Evolutionary Computation, vol. 4, no 2, pp. 164-171, 2000. [11] C. Liu and H. Wechsler, “Evolutionary pursuit and its application to face recognition,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 6, pp. 570-582, 2000. [12] K. H. Tan and M. Ghanbari “Layered image coding using the DCT pyramid,” IEEE Trans. on Image Processing, vol. 4, no. 4, pp. 512-516, April 1995. [13] AYBAR, E., “Topolojik Kenar _slecleri”, Anadolu Üniversitesi, Fen Bilimleri Enstitüsü, Ph.D. thesis, 2003. [14] Image Toolbox (for use with Matlab) User’s Guide, The MathWorks Inc., 2000. [15] J. Nagi, “Design of an Efficient High-speed Face Recognition System”,Department of Electrical and Electronics Engineering, College of Engineering, Universiti Tenaga Nasional, March 2007. [16] A. Abdallah, M. Abou El-Nasr, and A. Lynn Abbott, “A New Face Detection Technique using 2D DCT and Self Organizing Feature Map” in Proc. of World Academy of Science, Engineering and Technology,Vol. 21, May 2007, pp. 15-19. [17] Y. Zi Lu and Z. You Wei, “Facial Expression Recognition Based on Wavelet Transform and MLP Neural Network”, in Proc. 7th International Conference on Signal Processing, ICSP 2004, Vol. 2, Aug 2004, pp. 1340-1343. [18] Nisha Soni, Garima Mathur and Mahendra Kumar,” Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques” International Journal of Computer Applications (IJCA), Vol. 76, No. 3, Aug. 2013, pp.7-11. (Impact factor: 0.821) [19] Nisha Soni, Garima Mathur and Mahendra Kumar,” A Matlab Based High Speed Face Recognition System Using SOM Neural Networks” International Journal of Engineering Research and Applications (IJERA), Vol. 3, Issue 4,July-Aug. 2013, pp.785-790. (Impact factor: 1.69) [20] M. Kumar et.al., “Digital Image Watermarking using Fractional Fourier transform via image compression”, In IEEE International Conference on Computational Intelligence and Computing Research 2013 (IEEE ICCIC-2013), 26-28 Dec., 2013. [21] Mahendra Kumar et. Al..”Fuzzy type Image Fusion using SPIHT Image compression technique”, International Journal of Engineering Research and Applications (IJERA), (Accepted). (Impact factor: 1.69) [22] Mahendra Kumar et. al.,” Digital Image Watermarking using Fractional Fourier Transform with Different Attacks” International Journal of Scientific Engineering and Technology, Volume No.3 Issue No.8, Aug. 2014, pp : 1008-1011. ((ISSN : 2277- 1581)) [23] Rajesh Kumar Kakerda et. Al.,”Fuzzy type Image Fusion using hybrid DCT-FFT based Laplacian Pyramid Transform”, 4th IEEE International Conference on Communication and Signal Processing (ICCSP 2015) 02-04 April 2015 - Melmaruvathur, TN, IND. [24] M. Kumar et. Al.,” Comparative Study Of Different Classifiers Based Speaker Recognition System Using Modified MFCC For Noisy Environment”, International Conference Green Computing and Internet of Things (ICGCIoT - 2015) 08-10 Oct., 2015, Delhi, IND. [25] M. Kumar et. Al.,” Robust Digital Image Watermarking using DCT based Pyramid Transform via image compression”, 4th IEEE International Conference on Communication and Signal Processing (ICCSP 2015) 02-04 April 2015 - Melmaruvathur, TN, IND. [26] Swati Jadon et. Al.,”Face Recognition Using SOM Neural Network with DDCT Facial Feature Extraction Techniques”, 4th IEEE International Conference on Communication and Signal Processing (ICCSP 2015) 02-04 April 2015 - Melmaruvathur, TN, IND. [27] Reema Jain et. Al.,” Digital Image Watermarking using Hybrid DWT - FFT Technique with Different Attacks”, 4th IEEE International Conference on Communication and Signal Processing (ICCSP 2015) 02-04 April 2015 - Melmaruvathur, TN, IND. [28] Mahendra Kumar et. al., “Image Fusion based on the Modified Curvelet Transform” In International Conference on Smart Trends for Information Technology and Computer Communications (SmartCom – 2016), Jaipur, India, 6 – 7 August, 2016. (Proceeding in CCIS Series of Springer ) (ISSN Number - 1865-0929). [29] Mahendra Kumar et. Al.,” Robust Image Fusion based on Optimal Cuve-let Transform”, IEEE International Conference on Micro-Electronics and Telecommunication Engineering 22 & 23, September, 2016 (ICMETE-2016) 22-23 Sept. 2016 - SRM University, Modinagar, UP, IND. (Accepted) [30] Mahendra Kumar et. Al.,” Image Fusion Based On Hybrid SPIHT and SOMA”, IEEE International Conference on Micro-Electronics and Telecommunication Engineering 22 & 23, September, 2016 (ICMETE-2016) 22-23 Sept. 2016 - SRM University, Modinagar, UP, IND.