[PDF] Top 20 Face Recognition in Thermal Images based on Sparse Classifier

Face Recognition in Thermal Images based on Sparse Classifier

... Their system outperformed the popular classification algorithms such as K-Nearest Neighbor (KNN) and Support Vector Machines (SVM), even without using any feature extraction algorithms. Several studies [8, 9] showed that ... See full document

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Comparative Analysis of Eigen face and Sparsity Based Face Recognition Schemes Dr. Renuka Devi S.M, II E. Bhargavi Dept. of Electronics and Communication Engineering, GNITS, Telangana, India.

... one based on Eigen face and other Sparse Classifier methods have been studied and implemented using Matlab for ORL database and it is observed from the results that even in noiseless and ... See full document

5

Neural Network Based Face Recognition Using RBFN Classifier

... Face recognition has received substantial attention from researches in biometrics, pattern recognition field and computer vision ...paper, Face recognition using Eigen faces has been ... See full document

6

Compare Gabor Fisher Classifier and Phase-Based Gabor Fisher Classifier for Face Recognition

... for face recognition with Gabor Filters. Firstly Gabor Filters based methods which mainly use only Gabor magnitude features like Gabor Fisher Classifier (GFC), and secondly the proposed method ... See full document

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Face Recognition based Automated Attendance Management System using Hybrid Classifier

... human face characteristics so that it will help us to detect the human face with great ...selected based some of the properties associated with human ...training images. After that it finds ... See full document

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Grouping of Similar Images into a Folder Based on Face Recognition

... Robust face recognition under uncontrolled illumination conditions , the author has developed a generalized Weber-face (GWF) which extracts the statistics of multi-scale information from face ... See full document

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Face Recognition Using Attribute Based Tree Construction and Sparse Codewords

... coordinate based mapping process is applied to align every face with the face mean ...attribute-enhanced sparse coding method is applied to construct sparse codewords for that ...obtain ... See full document

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Face Recognition Using Sparse Representation

... contemporary face recognition algorithms work well on public data sets, but degrade sharply when they are used in a real recognition ...training images are well controlled and test ... See full document

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Title: Real-Time Secure System for Detection and Recognition the Face of Criminals

... Hybrid face recognition systems use a combination of both holistic and feature extraction ...pattern recognition, computer vision has emerged as an independent field of research ...field face ... See full document

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Fusion of Multi-Scale Visible and Thermal Images using EMD for Improved Face Recognition

... Face recognition based on the visible spectrum is difficult in out door ...of face recognition degrades quickly with illumination ...conditions. Thermal IR spectrum (3-12 μm) has ... See full document

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1. Embedded design and implementation of face detection and face recognition system with haar cascade classifier and eigenface algorithm

... the face recognition ...of images showing various human faces. The eigenfaces method is based on the maximization of the scattering of facial images with the Karhunen-Loeve ... See full document

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Face Recognition using Appearance-Based Statistical Technique on Color Images Database

... PCA classifier did better when using Mahalanobis distance rather than L1, L2 or ...simple face recognition system can be built for recognition of faces by using PCA and neural ... See full document

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Optimized superpixel and AdaBoost classifier for human thermal face recognition

... human thermal face recognition model is ...extracting face features. Thirdly, Rough Set-based methods were utilized to select the most discriminative ...AdaBoost classifier was ... See full document

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A New Approach to Partial Face Recognition

... A number of papers have been published on SIFT- based face recognition[1]. However, all of them were applied on prealigned face images. But the most significant feature of SIFT ... See full document

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A Novel Sparse Representation Method of Occluded Images for Face Recognition

... representation face recognition (SRC) is model based on the image subspace assumption , it uses training sample images to span a face ...test images from training images. ... See full document

5

A Priori Laplacian with Hamming Distance: Advanced Dimension Reduction Technique

... a face subspace that best detects the essential face manifold ...each face to its class is used, which removes the Nearest Neighbor search from the ...the face using Mahalanobis ... See full document

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Automated Attendance System using RFID and Face Recognition

... RFID based and face recognition based implementation have been proposed, but they are separately ...with Face recognition ... See full document

8

A SURVEY OF FACE RECOGNITION

... a face, such as the contour of the eye sockets, nose, and ...facial recognition is that it is not affected by changes in lighting like other ...a face from a range of viewing angles, including a ... See full document

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Comparision of PCA and LDA Techniques for Face Recognition Feature Based Extraction With Accuracy Enhancement

... The face of the human is a very complex structure and very useful in many of social aspect in purpose of ...a face correctly. Now a day Face Recognition becomes very popular research area for ... See full document

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Face recognition in 2D images using LDA as the classifier to tackle posing and illumination

... many images, exclusively when the usable data of the image is represented by close contrast ...for images with varying lighting conditions for the backgrounds and ... See full document

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