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Performance Evaluation and Comparison of Principal Component Analysis for Complex Images

Rachana Tiwari, Kamlesh Lehre, Rohit Miri

Abstract


Human Face recognition technique is widely used in many fields now a day. Different types of experiment were conducted on the human face and on the basis of those experiments various results and technologies were adopted or taken in the real life. Like; adhar card, driving license, police verification, pass port, bank identification proof each and every where demand photograph. adhar card connected voter id card because vote authentication is important issue in India.     

Many type of form in any exam is done on the basis of the photograph of the applicant. Hence the face images processing is quite useful for different purposes. In recent competitive exams like in engineering entrance exam or in medical entrance exams various frauds related to photograph of face were there in national news. Many types of things related to face identification are there like;

Watching the face from Front side, from right side, from left side, from diagonally, and watching the changes in the human face.

Normally we are recognized important things are there in the human face from which a human face can be authenticated: - in which feature (such as eyes,) from face image was located.

(a)Eye, (b) Eye Brows Nose (c) Lips (d) Forehead (e) Cheeks,(f) ears,(g) nose (h)mouth (i) Facial Expression are Changed


Keywords


Classification, Verification, Authentication, Facial Expression, Component Analysis

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References


Ming-Hsuan Yang, Member, Ieee, David J. Kriegman, Senior Member, Ieee, And Narendra Ahuja, Fellow, Ieee ‘’ Detecting Faces In Images: A Survey’’ieeeTransactions On Pattern Analysis And Machine Intelligence, Vol. 24, No. 1, January 2002.

Tarun Dhar Diwan "Local Binary Pattern Occuence Map Method for High Parallel Image Processing" International Conference on Advances in Computing and Communication Aprl 8-10, 2011, pages 538-540, ISBN:978-81-920874-0-5, IEEE,NIT Hamirpur, Himachal Pradesh, India

Rabia Jafri* and Hamid R. Arabnia*” A Survey of Face Recognition Techniques, DOI: 10.3745/JIPS.2009.5.2.041, Journal of Information Processing Systems, Vol.5, No.2, June 2009

Tarun Dhar Diwan "personal identification system ", CiiT - International Journal of Data Mining Knowledge Engineering, June2012, and ISSN: 0974-9578, DOI: DMKE062012004.

Smith R. S., T. Windeatt, “ Facial Expression Detection using Filtered Local Binary Pattern Features with ECOC Classifiers and Platt Scaling, “, JMLR: Workshop and Conference Proceedings 11,pp.111-118, 2010 .

Shafiq M. Z., A. Khanum,“ A personalized facial expression recognition system using case based reasoning,“ 2nd IEEE International Conference on Emerging Technologies, Peshawar, pp. 630-635, 2006.

Raouzaiou A., S. Ioannou, K. Karpouzis, N. Tsapatsoulis, S. Kollias, R. Cowie ,“An Intelligent Scheme for Facial Expression Recognition, “Artificial Neural Networks and Neural Information Processing, Lecture notes in Computer Science 2714, Springer, pp. 1109 – 1116, 2003.

Friesen W., P. Ekman, “Emotional facial action coding system“, unpublished manual, 1984.

Liu J.Q., Q. Zhen Fan, “Research of feature extraction method on Facial Expression change, “Advanced Materials Research Volumes 211 – 212, 2011.

Xiang T., M.K.H. Leung, and S.Y. Cho, “Expression recognition using fuzzy patio-temporal modeling, “Pattern Recognition, vol. 41, pp. 204-216, 2008.

Jamshidnezhad A., “A Learning Fuzzy Model for Emotion Recognition, “European Journal of Scientific Research ISSN 1450-216X Vol.57 No.2, pp.206-211, 2011.

Usman Akram M., Irfan Zafar, Wasim Siddique Khan and Zohaib Mushtaq “Facial Expression Recognition Based On Fuzzy Logic“International Conference on Computer Vision Theory and Applications, P.383-388, 2008.

Dongcheng S., J. Jieqing , “The method of facial expression recognition based on DWT-PCA/LDA, “ International congress on Image and Signal Processing (CISP), Volume: 4, pp. 1970 – 1974, 2010.

Vishwakarma V. P., S. Pandey, and M. N. Gupta “Fuzzy based Pixel wise Information Extraction for Face Recognition,“ IACSIT International Journal of Engineering and Technology Vol. 2, No.1, ISSN: 1793-8236, February, 2010.

“Digital Image Processing Using MATLAB” Rafael C. Gonzalez, Richard E.Woods,Steven L.Eddins, Mc Graw Hill, Second Edition, 2010.


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