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Multi-feature fusion for thermal face recognition ...
In this section, we show how to improve thermal face recognition quality by the proposed multi-feature fusion technique. Fig. 1 illustrates our thermal face recognition framework which comprises four important components: feature extraction, local classification, feature weight vector computation, and final residual computation. In the training stage, labeled thermal faces are recognized by ......
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 Extended Kalman Filter based ...
In recent years there has been a growing concern by researchers in developing algorithm for face recognition. The proposed work addresses the problem of face recognition in still images using Extended Kalman Filter for machine learning. The algorithm comprises of designing a feature vector which has discrete wavelet coefficients of the face and, a coefficient representing parameters of the face....
Computer Vision and Pattern Recognition authors/titles Jul ...
Title: Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition - A Comparative Study Authors: M. K. Bhowmik , Debotosh Bhattacharjee , M. Nasipuri , D. K. Basu , M. Kundu
 Face Recognition using Extended Kalman Filter based ...
Mrinal Kanti Bhowmik et. al. [16] performed a comparative study on fusion of visual and thermal images using different wavelet transformations like Haar and Daubechies (db2). They found wavelet a useful transformation for face recognition. Boqing Gong et. al. [17] proposed a method based on extracting...
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 ......
Infrared and visible image fusion based on nonlinear ...
Image fusion technology, which aims to combine images obtained from different sensors to create a single and rich fused image [], has been widely used in medical imaging [2, 3], remote sensing [4,5,6], object recognition [7, 8], and detection [].Among the combination of different types of images, infrared and visible image fusion has attracted increasing attention []....
Fusion of Visual and Thermal Face Recognition Techniques ...
Fusion of Visual and Thermal Face Recognition Techniques: A Comparative Study by ... Their advice over the years has been of equal importance. ii This paper describes how fusion of visual and thermal face recognition can increase the overall performance of face recognition systems. ... The inputs to the neural network are the wavelet maxima ......
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....
IJCA - Face Recognition using Extended Kalman Filter based ...
M. K. Bhowmik, D. Bhattacharjee, M. Nasipuri, D. K. Basu & M. Kundu, "Fusion of Wavelet Coefficients from Visual and Thermal Face Images for Human Face Recognition – A Comparative Study," International Journal of Image Processing (IJIP), Volume (4), Issue (1), pp. 12-23.
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