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Journal ArticleDOI

An evolutionary single Gabor kernel based filter approach to face recognition

TLDR
An evolutionary single Gabor kernel (ESGK) based filter approach is proposed for face recognition and a new eigen value based classifier is introduced, which outperforms the state-of-the-art methods.
About
This article is published in Engineering Applications of Artificial Intelligence.The article was published on 2017-06-01. It has received 37 citations till now. The article focuses on the topics: Gabor filter & Gabor wavelet.

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Citations
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Journal ArticleDOI

How far did we get in face spoofing detection

TL;DR: An extensive analysis on face spoofing detection works published in the last decade is presented and a comparative performance analysis of the works considering the most important public data sets in the field is brought.
Journal ArticleDOI

An efficient face recognition method using contourlet and curvelet transform

TL;DR: Experimental results show that the proposed feature extraction method improves recognition accuracy compare to other methods and efficiently handle the effect of Gaussian noise as tested on JAFFE, ORL and FERET database.
Journal ArticleDOI

Mixed neighborhood topology cross decoded patterns for image-based face recognition

TL;DR: Simulated experiments show that the proposed MNTCDP descriptor presents high performance ability in classifying face images, demonstrating superior performance than a large number of recent state-of-the-art LBP variants and deep learning methods, as well as recent most promising works of the literature.
Journal ArticleDOI

A comprehensive comparative study of handcrafted methods for face recognition LBP-like and non LBP operators

TL;DR: This research work adopted a face recognition framework composed of four stages: 1) image pre-processing using gamma correction; 2) feature extraction using texture descriptors; 3) histogram calculation and 4) face recognition and classification based on the simple parameter-free Nearest Neighbors classifier (NN).
References
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Proceedings ArticleDOI

Particle swarm optimization

TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI

GSA: A Gravitational Search Algorithm

TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
Journal ArticleDOI

The FERET evaluation methodology for face-recognition algorithms

TL;DR: Two of the most critical requirements in support of producing reliable face-recognition systems are a large database of facial images and a testing procedure to evaluate systems.
Journal ArticleDOI

Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.

TL;DR: Evidence is presented that the 2D receptive-field profiles of simple cells in mammalian visual cortex are well described by members of this optimal 2D filter family, and thus such visual neurons could be said to optimize the general uncertainty relations for joint 2D-spatial-2D-spectral information resolution.
Journal ArticleDOI

Face recognition by elastic bunch graph matching

TL;DR: A system for recognizing human faces from single images out of a large database containing one image per person, based on a Gabor wavelet transform, which is constructed from a small get of sample image graphs.
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