The week's pick
Random Articles
Reseach Article
Design and Implementation of Real Time Face Recognition System (RTFRS)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 94 - Number 12 |
| Year of Publication: 2014 |
| Authors: Zahraa Qasem Jaber, Mohammed Issam Younis |
10.5120/16395-6014
|
Zahraa Qasem Jaber, Mohammed Issam Younis . Design and Implementation of Real Time Face Recognition System (RTFRS). International Journal of Computer Applications. 94, 12 ( May 2014), 15-22. DOI=10.5120/16395-6014
Abstract
Face recognition is a pattern recognition technique and one of the most important biometrics; it is used in a broad spectrum of applications. The accuracy is not a major problem that specifies the performance of automatic face recognition system alone, the time factor is also considered a major factor in real time environments. Recent architecture of the computer system can be employed to solve the time problem, this architecture represented by multi-core CPUs and many-core GPUs that provide the possibility to perform various tasks by parallel processing. However, harnessing the current advancements in computer architecture is not without difficulties. Motivated by such challenge, this paper proposes a Real Time Face Recognition System (RTFRS). In doing so, this paper provides the architectural design, detailed design, and four variant implementations of the RTFRS. Finally, this paper determines the speed up obtained for the three advanced implementations (i. e. , Hybrid Parallel model, CPU Parallel model, and Hybrid Mono model) against the convention implementation (i. e. , CPU Mono model). The practical results demonstrate that the Hybrid Parallel model gain highest speed up around 82X, CPU Parallel model also have a high speed up around 71X, and finally, the Hybrid Mono model gives a slight speed up about 1. 04X.
References
- See, J. ; Eswaran, C. and Fauzi, M. F. A. "Video-Based Face Recognition Using Spatio-Temporal Representations", in Reviews, Refinements and New Ideas in Face Recognition, Corcoran P. ,Ed. , InTech, Croatia, pp. 273-293, 2011.
- Rady H. "Face Recognition using Principle Component Analysis with Different Distance Classifiers", International Journal of Computer Science and Network Security, Vol. 11 No. 10, pp. 134-143, October 2011.
- Patel R. ; Rathod N. and Shah A. "Comparative Analysis of Face Recognition Approaches: A Survey", International Journal of Computer Applications, Vol. 57, No. 17, pp. 50-61, November 2012.
- Xie, S. J. ; Yang J. ; Park, D. S. ; Yoon, S. and Shin, J. "State of the art in biometrics" in Iris Biometric Cryptosystems, Yang, J. and Nanni, L. , Eds. , InTech, , Croatia, pp. 179-202, July 2011.
- Jafri R. and Arabnia, H. "A Survey of Face Recognition Techniques", Journal of Information Processing Systems, Vol. 5, No. 2, pp. 41-68, June 2009.
- Bhatia R. "Biometrics and Face Recognition Techniques", International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, No. 5, pp. 93-99, May 2013.
- Li S. and Jain A. "Handbook of Face Recognition", 2nd edition, Springer, 2011.
- Jain A. ; Ross A. and Nandakumar K. "Introduction to Biometrics: A Textbook", Springer, 2011.
- Krishna B. ; Bindu V. ; Durga K. and AshokKumar G. "An Efficient Face Recognition System by Declining Rejection Rate using PCA", International Journal of Engineering Science & Advanced Technology, Vol. 2, No. 1, pp. 93 – 98, February 2012.
- Lih-Heng C. ; Sh-Hussain S. and Chee-Ming T. "Face Biometrics Based on Principal Component Analysis and Linear Discriminant Analysis", Journal of Computer Science, Vol. 6, No. 7, pp. 693-699, 2010.
- Wilson P. and Fernandez J. "Facial Feature Detection using Haar Classifiers", The Journal of Computing Sciences in Colleges, Vol. 21, No. 4, pp. 127-133, April 2006.
- Runarsson K. " A Face Recognition Plug-in for the PhotoCube Browser", M. Sc. thesis, Reykjavik University, December 2011.
- Bedre J. S. and Sapkal S. "Comparative Study of Face Recognition Techniques: A Review", International Journal of Computer Applications, Vol. 1, No. 1, pp. 12-15, 2012.
- Philipp Wagner, "Face Recognition with Python", available at: http://www. byte_sh. de, last accessed 20 April 2014.
- Zhao Q. ; Liang B. and Duan F. "Combination of Improved PCA and LDA for Video-Based Face Recognition", Journal of Computational Information Systems, Vol. 9, No. 1, pp. 273-280, 2013.
- Xiong H. ; Zeng G. ; Zeng Y. ; Wang W. and Wu C. "A Novel Scalability Metric about Iso-Area of Performance for Parallel Computing", The Journal of Supercomputing, Springer, December 2013.
Index Terms
Keywords