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Independent component analysis (ICA) of fused wavelet ...
Further, a comparative study has been conducted for dimensionality reduction based on Principal Component Analysis (PCA) and Independent Component Analysis (ICA). Fused images thus obtained are classified using a multi-layer perceptron (MLP). For experiments IRIS Thermal/Visual Face Database has been used.
An improved algorithm for face recognition using wavelet ...
In this paper, the problem of face recognition in still color images is addressed. An improved algorithm for face recognition is proposed here. The algorithm comprises of designing a feature vector which has discrete wavelet coefficients of the face and, a coefficient representing parameters of the face....
Face Recognition Using MLP and RBF Neural Network with ...
Face recognition has received a great attention from a lot of researchers in computer vision, pattern recognition, and human machine computer interfaces in recent years. Designing a face recognition system is a complex task due to the wide variety of illumination, pose, and facial expression. A lot of approaches have been developed to find the optimal space in which face feature descriptors ......
Thermal Infrared Face Recognition – A Biometric ...
So, to solve different challenges faced while using visual images in face recognition systems, thermal images are used because of (Kong et al., 2005): Face (and skin) detection, location, and segmentation are easier when using thermal images. Within-class variance smaller. Nearly invariant to illumination changes and facial expressions....
An enhanced thermal face recognition method based on ...
In this paper, an enhanced thermal face recognition approach based on Multiscale Complex Fusion for Gabor coefficients (MCFG) is proposed. Initially, the Complex Gabor Jet Descriptor (CGJD) is acquired based on the block mean and standard deviation generated from the magnitude, phase, real and imaginary parts of Gabor coefficients....
GitHub - ChanChiChoi/awesome-Face_Recognition: papers ...
Face recognition 2008 【Dataset】【LFW】Huang G B, Mattar M, Berg T, et al. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments[C]//Workshop on faces in'Real-Life'Images: detection, alignment, and recognition. 2008. R. Sala Llonch, E. Kokiopoulou, I. Tosic, P. Frossard .3D Face Recognition with Sparse Spherical Representations.[J] arXiv prepri...
Analysis of Image Fusion Techniques for fingerprint ...
S. Anu H Nair Int. Journal of Engineering Research and Applications ISSN : 2248-9622, Vol. 5, Issue 1( Part 3), January 2015, pp.77-83. RESEARCH ARTICLE
Multispectral Palmprint Recognition: A Survey and ...
The approaches surveyed are discussed by describing, in particular, their feature extraction, feature fusion, matching and decision algorithms. Finally, a comparative study to evaluate their performances for both verification and identification modes is addressed.
CiteSeerX — Citation Query Face recognition: eigenface ...
Face recognition using 3D images is another active area of face recognition, which provides robust face recognition with changes in pose. Recent research has also demonstrated that the fusion of different imaging modalities and spectral components can improve the overall performance of face recognition....
Learning a Restricted Bayesian Network for Object ...
Learning a Restricted Bayesian Network for Object Detection Henry Schneiderman Abstract: many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. Such characteristics make it possible to construct a powerful classifier by only representing the strong direct dependencies ...
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