The week's pick
Random Articles
Reseach Article
A Face Recognition System using PCA and AI Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 126 - Number 6 |
| Year of Publication: 2015 |
| Authors: Reecha Sharma, M.S. Patterh |
10.5120/ijca2015906072
|
Reecha Sharma, M.S. Patterh . A Face Recognition System using PCA and AI Technique. International Journal of Computer Applications. 126, 6 ( September 2015), 30-37. DOI=10.5120/ijca2015906072
Abstract
In this paper a proficient posture invariant face recognition framework utilizing PCA and AI has been proposed. The peculiarities of an image under test have been extracted utilizing PCA then neuro fuzzy based framework ANFIS is utilized for recognition. The primary reason for this paper is to decrease the computational complexities in the face recognition framework. The proposed framework will perceive the face images under an assortment of stance conditions by utilizing AI based system. The preparation face image dataset will be handled by PCA procedure to register the score esteem, which will be then used in the recognition process. The score values from the distinctive posture images will be given as data to the Neuro-Fuzzy based ANFIS System. The Neuro-Fuzzy based ANFIS System will achieve the recognition transform by taking the info score estimations of the data images and perceive the information face images with the assistance of predefined limit esteem. The proposed face recognition system with Neuro-Fuzzy based ANFIS System will perceive the information face images productively with high recognition proportion. The proposed methodology will be actualized in the MATLAB stage and it will be assessed by utilizing an assortment of database images under different posture invariant conditions. Accordingly, proposed framework will effectively perceive the face images focused around the blend of scores acquired from the posture invariant procedure.
References
- Wu-Jun Li, Chong-Jun Wang, Dian-Xiang Xu and Shi-Fu Chen, "Illumination Invariant Face Recognition Based on Neural Network Ensemble", In Proceedings of 16th IEEE International Conference on Tools with Artificial Intelligence, pp. 486-490, November 2004
- Ehab F. Abdel-Kader, Rabab M. Ramadan and Rawya Y. Rizk, "Rotation Invariant Face Recognition Based on Hybrid LPT/DCT Features", International Journal of Electrical and Computer Engineering, Vol. 3, No. 7, pp. 488-493, 2008
- Shaohua Kevin Zhou and Rama Chellappa, "Image-based face recognition under illumination and pose variations", Journal of the Optical Society of America A, Vol. 22, No. 2, pp. 217-229, 2005
- Brunelli and Poggio, “Face recognition: Features versus templates”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 15, No. 10, pp.1042-1052, 1993
- Laurenz Wiskott, Jean-Marc Fellous, Norbert Kruger, and Christoph von der Malsburg, “Face Recognition by Elastic Bunch Graph Matching”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.19, pp. 775-779, 1997
- Edwards, Cootes and Taylor, "Face recognition using active appearance models”, In Proceedings of the 5th European Conference on Computer Vision, Vol. 2, Freeburg, Germany, pp. 581-595, 1998
- WenYi Zhao and Rama Chellappa, "Image based Face Recognition Issues and Methods", Image Recognition and Classification, pp. 375-402, 2002
- Xi Li, Kazuhiro Fukui and Nanning Zheng, "Image-set based Face Recognition Using Boosted Global and Local Principal Angles", Springer Lecture Notes in Computer Science (LNCS), 2009
- Hakan Cevikalp and Bill Triggs, "Face Recognition Based on Image Sets", In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, San Francisco : United States, 2010
- Seok Cheol Kee, Kyoung Mu Lee And Sang Uk Lee, " Illumination Invariant Face Recognition Using Photometric Stereo", IEICE Transactions on Information and Systems, Vol. E83-D, No. 7, pp. 1466-1474, July 2000
- Yasufumi Suzuki and Tadashi Shibata, "Illumination-Invariant Face Identification Using Edge-Based Feature Vectors In Pseudo-2d Hidden Markov Models", In Proceedings of the 14th European Signal Processing Conference, Florence, Italy, 2006
- Hui-Fuang Ng, "Pose-Invariant Face Recognition Security System", Asian Journal of Health and Information Sciences, Vol. 1, No. 1, pp. 101-111, 2006
- Shermina, "Impact of Locally Linear Regression and Fisher Linear Discriminant Analysis in Pose Invariant Face Recognition", International Journal of Computer Science and Network Security, VOL.10 No.10, pp. 106-110, October 2010
- Zhonghua Liu, Jingbo Zhou and Zhong Jin, "Face recognition based on illumination adaptive LDA", In Proceedings of International Conference on Pattern Recognition, pp. 894-897, Istanbul, Turkey, August 2010
- Muhammad Akmal Khan, Javed and Muhammad Anjum Akbar, "Face Recognition using Sub-Holistic PCA", British Journal of Science, Vol. 1, No. 1, pp. 111-120, 2011
- Susheel Kumar, Shitala Prasad, Vijay Bhaskar Semwal and Tripathi, "Real Time Face Recognition using Adaboost Improved Fast PCA Algorithm", International Journal of Artificial Intelligence & Applications (IJAIA), Vol.2, No.3, July 2011
- Srinivasan, "A Framework for Face Recognition Using Adaptive Binning and Adaboost Techniques", The International Journal of Multimedia & Its Applications, Vol.3, No.1, pp. 76-88, 2011.
- Hafiz Imtiaz and Shaikh Anowarul Fattah, "A Spectral Domain Local Feature Extraction Algorithm for Face Recognition", International Journal of Security (IJS), Vol. 5, No. 2, pp. 62-73, 2011.
- Shermina and Vasudevan "An Efficient Face Recognition System Based On the Fusion of MPCA and LPP", American Journal of Scientific Research, No. 11, pp. 6-19, 2010
- Syed Navaz, Dhevi Sri and Pratap Mazumder, “Face Recognition Using Principal Component Analysis And Neural Networks”, International Journal of Computer Networking, Vol. 3, No. 1, pp. 245-256, 2013.
Index Terms
Keywords