Feature Accentuation using Uniform Morphological Correction as Pre-processing Technique for DWT based Face Recognition

被引：4
|
作者：
Roohi, S. T. [1 ]
Sachin, D. S. [1 ]
Manikantan, K. [1 ]
Ramachandran, S. [2 ]
机构：
[1] MS Ramaiah Inst Technol, Bangalore 560054, Karnataka, India
[2] SJB Inst Technol, Bangalore 560060, Karnataka, India
来源：
FIRST INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE: MODELING TECHNIQUES AND APPLICATIONS (CIMTA) 2013 | 2013年 / 10卷
关键词：
Face Recognition; Feature extraction; Image Pre-processing; Binary Particle Swarm Optimization; Uniform Morphological Correction; Discrete Wavelet Transform;
D O I：
10.1016/j.protcy.2013.12.411
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a novel pre-processing technique to enhance the performance of a Face Recognition (FR) system employing a unique combination of Uniform Morphological Correction (UMC) and Pose Invariant Flipping (PIF). DiscreteWavelet Transform (DWT) is used for efficient feature extraction and a Binary Particle Swarm Optimization (BPSO) - based feature selection algorithm is used to search the feature vector space for the optimal feature subset. Experimental results show the promising performance of the proposed technique on four benchmark face databases : Color FERET, Extended Yale B, Pointing Head Pose and CMU PIE. (C) 2013 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：690 / 698
页数：9
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