We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition

by S. H. Krishna Veni, K. L. Shunmuganathan, L. Padma Suresh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 3
Year of Publication: 2013
Authors: S. H. Krishna Veni, K. L. Shunmuganathan, L. Padma Suresh
10.5120/11940-7733

S. H. Krishna Veni, K. L. Shunmuganathan, L. Padma Suresh . A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition. International Journal of Computer Applications. 70, 3 ( May 2013), 7-10. DOI=10.5120/11940-7733

@article{ 10.5120/11940-7733,
author = { S. H. Krishna Veni, K. L. Shunmuganathan, L. Padma Suresh },
title = { A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 3 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number3/11940-7733/ },
doi = { 10.5120/11940-7733 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:31:52.120191+05:30
%A S. H. Krishna Veni
%A K. L. Shunmuganathan
%A L. Padma Suresh
%T A Novel NSCT based Illuminant Invariant Extraction with Optimized Edge Detection Technique for Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 3
%P 7-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A novel integrated approach for resolving the effect of illumination changes on face recognition is proposed. This face recognition system comprises feature extraction, feature selection and recognition. For feature extraction, a normal shrink filter in NSCT domain denoising technique is applied which produces illuminant invariant for the given image. In the second phase, to capture the important geometrical structures and to reduce the feature dimensionality Ant colony Optimization algorithm is performed. This combined approach fairly detects the edges with improved quality. Finally for recognition, a graph matching algorithm is employed. This algorithm utilizes a group of feature points to explore their geometrical relationship in a graph arrangement. While applying the entire method to the yaleB database, experimental results shows that the proposed work yields the best subset of features and provides a better solution for complex illumination problems.

References
  1. Yong Cheng, Yingkun Hou, Chunxia Zhao, Zuoyong Li, Yong Hu, Cailing Wang 2010, "Robust face recognition based on illumination invariant in nonsubampled contourlet transform domain", Neurocomputing, pp. 2217-2224
  2. A. Amali Asha,S. P. Victor ,A. Lourdusamy 2011, "Feature Extraction in Medical Image using Ant Colony Optimization : A Study" , International Journal on Computer Science and Engineering Vol. 3 No. 2 ,pp. 714-721
  3. Om Prakash Verma, Puneet Kumar, Madasu Hanmandlu, Sidharth Chhabra 2012, "High dynamic range optimal fuzzy color image enhancement using Artificial Ant Colony System", Applied Soft Computing,pp. 394–404.
  4. Graham Finlayson, Steven Hordley, Gerald Schaefer, GuiYun Tian 2005, "Illuminant and device invariant color using histogram equalization" Pattern Recognition, pp. 179 – 190.
  5. Wen-chung Kao, Ming-chai Hsu, Yueh-Yiing Yang 2010, "Local contrast enhancement and adaptive feature extraction or illumination-invariant face recognition", Pattern Recognition,pp. 1736-1747.
  6. W. shen, L. G. Yu, Y. L. Wang, J. Y. Yang,Z. W. Zhang 2012, "illumination invariant extraction for face recognition using neighboring wavelet coefficients" Pattern Recognition45,pp. 1299–1305
  7. Dang-Hui Liu, Kin-Man Lam, Lan-Sun Shen 2005, " Illumination invariant face recognition", Pattern Recognition ,pp. 1705 – 1716.
  8. Young Kyung Park, Seok Lai Park, Joong Kyu Kim 2008, "Retinex method based on adaptive smoothing for illumination invariant face recognition" Signal Processing ,pp. 1929–1945.
  9. Bolun Chen , Ling Chen , Yixin Chen 2012 , "Efficient ant colony optimization for image feature selection" , SignalProcessing ,pp. 1-11.
  10. De-Sian Lu, Chien-Chang Chen 2007, "Edge detection improvement by ant colony optimization" Pattern Recognition ,pp. 416–425.
  11. Hu Han , ShiguangShan , XilinChen, WenGaoc 2012, "A comparative study on illumination preprocessing in face recognition" Pattern Recognition,pp. 1691–1699
  12. Mohammad Izadi and Parvaneh Saeedi 2012," "Robust Weighted Graph Transformation Matching for Rigid and Nonrigid Image Registration",IEEE Transactions on image processing, vol. 21, no. 10, pp. 4369-4382.
  13. Hochul Shin , Seong-Dae Kim , Hae-Chul Choi 2007, " Generalized elastic graph matching for face recognition" Pattern Recognition ,pp. 1077–1082.
Index Terms

Computer Science
Information Sciences

Keywords

illuminant invariant Non subsampled contourlet feature subset Ant colony optimization Weighted graph matching

Powered by PhDFocusTM