DocumentCode :
1696770
Title :
Performance analysis of face recognition by combining multiscale techniques and homomorphic filter using fuzzy K nearest neighbour classifier
Author :
Thamizharasi, A.M.E.
Author_Institution :
Dept. of Comput. Sci. & Eng., Mary Matha Coll. of Eng. & Technol., Trivandrum, India
fYear :
2010
Firstpage :
643
Lastpage :
650
Abstract :
The face recognition problem is made difficult by the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, partial occlusion (e.g. Wearing Hats, scarves, glasses etc.), etc. In this paper two multi scale techniques Discrete Cosine Transform and Discrete Wavelet Transform are used. Discrete Cosine Transform is applied by retaining various levels of DCT coefficients to face images prior to face recognition accuracy testing. Discrete Wavelet Transform is applied to face images and approximation coefficients at level 1 are used for face recognition. Homomorphic filter is used for illumination normalization. The aim is to find how the DWT and DCT coefficients when combined with the Homomorphic filter reduce the computational complexity. The complexity is reduced by either reducing the size of the image or by using the reduced feature set and how these techniques improve the face recognition rate. In this paper K Means clustering algorithm is used to cluster the pixels in face image. Binary threshold is applied in the clusters. The proposed work is to compare the performance of multiscale techniques DWT, DCT and by combining these multiscale techniques with Homomorphic filter using Fuzzy K Nearest Neighbour classifier by computing the face recognition accuracy rate. Face recognition accuracy is tested using the ORL face database.
Keywords :
computational complexity; discrete cosine transforms; discrete wavelet transforms; face recognition; fuzzy set theory; learning (artificial intelligence); pattern classification; ORL database; approximation coefficient; binary threshold; computational complexity; discrete Cosine transform; discrete wavelet transform; face image; face recognition; facial expression; fuzzy k nearest neighbour classifier; homomorphic filter; multiscale technique; performance analysis; Databases; Discrete cosine transforms; Discrete wavelet transforms; Face; Face recognition; Lighting; Discrete Cosine Transform; Discrete Wavelet Transform; FKNN Classifier; Face recognition accuracy rate; Homomorphic filter; K Means; binary threshold;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4244-7769-2
Type :
conf
DOI :
10.1109/ICCCCT.2010.5670761
Filename :
5670761
Link To Document :
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