International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 4, No. 6, 8 Jun. 2012
Cover page and Table of Contents: PDF (size: 988KB)
A Fuzzy Preference Relation Based Method for Face Recognition by Gabor Filters
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Author(s)
Soumak Biswas
1,*
Sripati Jha
1
Ramayan Singh
1
Index Terms
Fiducial pont, Priority vector, Largest Eigen value, Decision making (DM), Ranking
Abstract
In this paper we have applied Gabor filter for fiducial point localization. After obtaining the fiducial points the number of fiducial points are reduced using a distance formula. The distance of each of this fiducial point is then calculated by the distance formula and stored in the database of the system. The same methodology is also applied on the input face which is to be matched with the faces available in the database. Then a fuzzy preference relation matrix is obtained . the largest eigen value of this matrix is then determined by algebraic method or numerical method depending on the order of the matrix. To apply the numerical method which is more easier for large order matrices we have used the C programming of this method . Once the largest eigen value is determined the corresponding priority vector can easily be obtained from which we can easily match the input face with the database.
Cite This Paper
Soumak Biswas, Sripati Jha, Ramayan Singh, "A Fuzzy Preference Relation Based Method for Face Recognition by Gabor Filters", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.6, pp.18-23, 2012. DOI:10.5815/ijitcs.2012.06.03
Reference
[1]M.Turk and A.Pentland “ Eigenfaces for recognition” journal of cognitive science, 1991, pp 71-86.
[2]A.J. Goldstein, L.D. Harman,and A.B. Lesk, “Identification of human faces” Proc. IEEE, May 1971, Vol 59, no. 5, 748-760.
[3]W.Zhao,R.Chellappa,P.J.Phillips, and A.Rosenfield. “Face recognition: a litertature surveu. ACM computing surveys” 35(4), 2003.pp. 399-458.
[4]K.karibasappa, K.S.Patanaik, A.Konar, A.K.Mondal (1999). ”Image matching with fuzzy correlation descriptions”, Proc. Int.Con. on “Information Technology” (CIT 99) held in Bhubaneswar pp 121-125.
[5]L.Chaddah,et.al. recognition of human face using interconnection network. J.IETE, 42 (425), (1996), 261-267.
[6]L.Wiskott, et.al.. “Face recognition by elastic bunch graph matching”. IEEE Trans. PAMI, 19(7), (1997), 725-779.
[7]M.Sharif, A.Khalid,M.Raza, S.Mohasin.”face recognition using gabor filters” journal Of Applied computer science and Mathematics. 11(5),2011,pp53-57.
[8]Z.Xu. “A procedure for decision making based on Incomplete fuzzy preference relation”. Fuzzy optimization and decision making, 4-2005, pp 175-189.
[9]Z.S. Xu and Q.L. Da “ An approach to improving consistency of fuzzy preference Matrix” . Fuzzy optimization and decision making 2003 ,2, 3-12.
[10]T.L. Satty. The analytical hierarchy process. New York: McGraw-Hill
[11]T.S. lee “ Image representation using 2D Gabor wavelets”, IEEE Trans. PAMI, Vol18, no.10,1996. pp 959-971.
[12]R.Baron, “ Mechanisms of Human facial recognition” Int.J.Man-Machine studies, vol 15, 1981 ,pp 137-178.
[13]Chow and Li, “ Towards a system for automatic facial feature detection”, Pattern recognition, vol.26, No. 12, 1993 ,pp 1739-1755.
[14]L.Shen, L.bai, “ Mutual Boast learning for selecting gabor features for face recognition”, Pattern recognition Letters, Vol.27, No. 15,2006, pp. 1758-1767.
[15]V.Bruce,“Recognizingfaces.”London:Erlabam,1988.
[16]L.Pratibhan, “A novel face recognition algorithm with support vector machine classifier” IJMSC ,Vol.1, No.1, 2011, pp 28-34.