The week's pick
Random Articles
Reseach Article
Face Photo-Sketch Synthesis and Recognition
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 6 |
| Year of Publication: 2012 |
| Authors: Amit R. Sharma, Prakash R. Devale |
10.5120/ijais12-450192
|
Amit R. Sharma, Prakash R. Devale . Face Photo-Sketch Synthesis and Recognition. International Journal of Applied Information Systems. 1, 6 ( February 2012), 46-52. DOI=10.5120/ijais12-450192
Abstract
Today in Modern Society Face Recognition has gained much attention in the field of network multimedia access. After the 9/11 tragedy in India, the need for technologies for identification, detection and recognition of suspects has increased. One of the most common biometric recognition techniques is face recognition since face is the convenient way used by the people to identify each other. In this paper we are going to study a method for representing face which is based on the features which uses geometric relationship among the facial features like mouth, nose and eyes .Feature based face representation is done by independently matching templates of three facial regions i.e eyes, mouth and nose .Principal Component Analysis method which is also called Eigen faces is appearance based technique used widely for the dimensionality reduction and recorded a greater performance in face recognition. Here we are going to study about PCA followed by Feed Forward Neural Network called PCA-NN.
References
- W. Zhao, R. Chellappa, A. Rosenfeld, and P.J. Phillips, Face Recognition: A Literature Survey, UMD CFAR Technical Report CAR-TR-948, 2000.
- K. Sung and T. Poggio, Example-based Learning for View-based Human Face Detection, A.I. Memo 1521, MIT A.I. Laboratory, 1994.
- H.A. Rowley, S. Baluja, and T. Kanade, Neural Network Based Face Detection, IEEE Trans. On Pattern Analysis and Machine Intelligence, Vol. 20, 1998.
- E. Osuna, R. Freund, and F. Girosi, Training Support Vector Machines: An Application to Face Recognition, in IEEE Conference on Computer Vision and Pattern Recognition, pp. 130-136, 1997.
- M. Turk and A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neuroscience, Vol.3, pp. 72-86, 1991.
- W. Zhao, Robust Image Based 3D Face Recognition, PhD thesis, University of Maryland, 1999.
- K.S. Huang and M.M. Trivedi, Streaming Face Recognition using Multicamera Video Arrays, 16th International Conference on Pattern Recognition (ICPR). August 11-15, 2002.
- P.J. Phillips, P. Rauss, and S. Der, FERET (Face Recognition Technology) Recognition Algorithm Development and Test Report, Technical Report ARL-TR 995, U.S. Army Research Laboratory.
- K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre, XM2VTSDB: The Extended M2VTS Database, in Proceedings, International Conference on Audio and Video-based Person Authentication, pp. 72-77, 1999.
- Face Photo-Sketch Synthesis and RecognitionXiaogang Wang and Xiaoou Tang, Fellow, IEEE
- IEEE transactions on pattern analysis and machine intelligence, vol. 31, no. 11, November 2009
- PCA and LDA based Neural Networksfor Human Face RecognitionAlaa Eleyan and Hasan DemirelEastern Mediterranean UniversityNorthern CyprusJune 2007
- Face Recognition using Neural NetworksP.Latha Dr.L.Ganesan, Dr.S.AnnaduraiSignal Processing: An International Journal (SPIJ) Volume (3) : Issue (5)
- An Introduction to Face Recognition TechnologyShang-Hung Lin, Ph.D.IC M,2000
- Belhumeur, P.; Hespanha, J. & Kriegman, D. (1997). Eigen faces vs. Fisherfaces: RecognitionUsing Class Specific Linear Projection. IEEE Transactions on Pattern Analysis andMachine Intelligence, Vol. 19, No. 7, (July 1997) 711-720, 0162-8828
- Brunelli, R. & Poggio, T. (1993). Face recognition: Features versus Templates. IEEETransactions on Pattern Analysis and Machine Intelligence, Vol. 15 No. 10, (Octuber1993) 1042-1052, 0162-8828
Index Terms
Keywords