NDLI: An image fusion technique for efficient face recognition

Content Provider	IEEE Xplore Digital Library
Author	Dey, A. Sing, J.K.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India (Dey, A.; Sing, J.K.)
Abstract	An image level fusion technique combines different form of images so that the combine image may contain more relevant information than the individual ones. An image fusion technique for face recognition is presented in this paper. Due to the topological structure of human face images, one can easily identify a face image by looking along the horizontal-vertical and also forward-backward directions. This indicates that there is enough relevant information available along those directions. To realize this, we generate the diagonal face image from the original face image and then combine them to get the fused image. Finally, we extract discriminant features from the fused images, which integrate the underlying discriminant information along those directions. This extracted feature vectors are applied on Radial Basis Function Neural Networks (RBF-NN) for classification and recognition. Experiments on the AT&T and UMIST face databases show that the proposed method can obtain a higher accuracy than some of the subspace-based methods.
Starting Page	261
Ending Page	266
File Size	553761
Page Count	6
File Format	PDF
e-ISBN	9781479983490
DOI	10.1109/ReTIS.2015.7232888
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-09
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Image recognition Databases G-2DFLD Face recognition RBF-NN Feature extraction Contrasts enhancement Face Image fusion
Content Type	Text
Resource Type	Article

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