[PDF] Top 20 Face Recognition under Different Lighting Conditions Using Multiple Feature Fusion
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Face Recognition under Different Lighting Conditions Using Multiple Feature Fusion
... The EMB-LTP (Elongated Multi Block Local Ternary Pattern) is a novel variant of LBP capturing the prominent features of ELBP, MB-LBP and LTP which themselves are variants of LBP developed at different stages. The ... See full document
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Optical Flow Based Approach for Face Recognition under Expression s and Lighting Variations
... and lighting variations. For example, a face verification system for a portable device should be able to verify a client at any time (day or night) and in any place (indoors or ...and feature-based ... See full document
6
An Efficient Face Recognition under Varying Image Conditions
... two face images of the same person under different illumination ...combines multiple classifiers with complementary features instead of improving the accuracy of a single ...Score ... See full document
5
Feature Extraction in Face Recognition using SVM, Skin Fusion and Edge Detection Technique
... ABSTRACT: Face detection is a challenging computer vision ...to different human skin colours and illumination conditions is essential for better human skin ...though different human skin ... See full document
10
Human face recognition under degraded conditions
... decision fusion strategy and local entropy is applied to lower the effect of partially occluded sub ...the feature concatenation ...their face image, both global and local information is taken into ... See full document
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Performance Evaluation of Face Recognition based on Multiple Feature Descriptors using Euclidean Distance Classifier
... spectral face database consisting of 168 subjects using various state-of-the-art feature extraction ...heterogeneous feature fusion network to provide the information related to the ... See full document
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A review on face recognition using different pre processing methods in images captured under various illumination and posing conditions
... facial recognition for a dataset that has different illuminated images with variant poses for the purpose of human authentication using an low resolution camera available on the day-to-day electronic ... See full document
22
A Multimodal Approach to Biometric Recognition
... level fusion. For example, the face images obtained from several cameras can be combined to form a single face ...level fusion, the data obtained from the different sensors must be ... See full document
6
Multimodal Biometric System Using Face-Iris Fusion Feature
... the fusion in matching score level and decision level, one important branch is to perform fusion in feature level which can derive the most discriminative information from original multiple ... See full document
8
Analytical Analysis on Illumination Invariant Face Recognition
... for face recognition. Three OLHE feature combination schemes were proposed for face recognition: 1) encoded most edge orientations; 2) more compact with good edge-preserving capability; ... See full document
7
Facial expression recognition under harsh lighting using high dynamic range imaging
... dynamic lighting conditions can affect recognition accuracy have increasingly focused on improving either data acquisition techniques or the achievement of a robust algorithm through fine ...harsh ... See full document
174
Face Verification System based on Integral Normalized Gradient Image (INGI)
... Face Recognition is to refine the notion of a biometric imposter, and show that the traditional measures of identification and verification ...performance. Recognition algorithm performs scores on ... See full document
5
Daubechies Wavelet Tool: Application For Human Face Recognition
... Face recognition accuracy depends heavily on how well the input images have been compensated for pose illumination and facial ...same face due to illumination and viewing direction are always larger ... See full document
7
Face Recognition Using Gabor Wavelet, LBP and its Variants
... with different methods of facial feature extraction of Face Recognition using Gabor, Local Binary Pattern and its ...with different databases having major/minor variations in ... See full document
5
Multi-feature Fusion Face Recognition Based on Kernel Discriminate Local Preserve Projection Algorithm under Smart Environment
... , face recognition has become a very popular area of research in pattern recognition, computer vision and machine ...recognize face in still images or video clips is necessary. Face ... See full document
9
The on line detection of engine misfire at low speed using multiple feature fusion with fuzzy pattern recognition
... operating conditions as described in Figs 5 to 20 r/min even with the engine running in a healthy ...condition under very low ...measured under the same load of and R F can easily detect whether mis ... See full document
12
Friendly Arm Based Robust Kernel
... five different cells in a GSM network—micro, macro, femto, umbrella and pico ...on different frequency ranges, 2G GSM networks works in the 900 MHz spectrum and later introduced on 1800 MHz ... See full document
6
Face Recognition using SOM Neural Network with Different Facial Feature Extraction Techniques
... The self-organizing map also known as a Kohonen Map is a well-known artificial neural network. It is an unsupervised learning process, which learns the distribution of a set of patterns without any class information. It ... See full document
5
Research on face feature extraction based on K-mean algorithm
... of different light condi- tions, the mean part will become larger and some will become ...paper, different lighting has a greater influ- ence on the prominent and concave parts of the face, ... See full document
9
An Optimal Score Fusion Strategy For a Multimodal Biometric Authentication System for Mobile Device
... the different modalities, normalization is required to transform the scores into a com- mon ...of fusion at matching score level in several ...score fusion does not affect the existing proprietary ... See full document
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