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 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 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

Local Accuracy Measurement for Face Recognition System using Numerous Classifier (PCA, GA and ANN)

by Md. Shahjahan Kabir, Kh. Mohaimenul Kabir, Rabiul Islam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 13
Year of Publication: 2015
Authors: Md. Shahjahan Kabir, Kh. Mohaimenul Kabir, Rabiul Islam
10.5120/19889-1928

Md. Shahjahan Kabir, Kh. Mohaimenul Kabir, Rabiul Islam . Local Accuracy Measurement for Face Recognition System using Numerous Classifier (PCA, GA and ANN). International Journal of Computer Applications. 113, 13 ( March 2015), 36-39. DOI=10.5120/19889-1928

@article{ 10.5120/19889-1928,
author = { Md. Shahjahan Kabir, Kh. Mohaimenul Kabir, Rabiul Islam },
title = { Local Accuracy Measurement for Face Recognition System using Numerous Classifier (PCA, GA and ANN) },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 13 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number13/19889-1928/ },
doi = { 10.5120/19889-1928 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:52.822253+05:30
%A Md. Shahjahan Kabir
%A Kh. Mohaimenul Kabir
%A Rabiul Islam
%T Local Accuracy Measurement for Face Recognition System using Numerous Classifier (PCA, GA and ANN)
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 13
%P 36-39
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Between the various biometric methods, Face Recognition has become one of the most burning topic tasks in the pattern recognition field during the past decades. In This Work a Face Recognition System has been developed By applying different multiple classifier selection schemes on the output of three different classification methods namely Artificial Neural Network, Genetic Algorithm And Euclidean distance measure based on Principal Component Analysis dimensionality reduction technique. Dynamic classifier selection technique using classifier of local accuracy measurement is to look up the individual correctness of individual classifier and select the best one from them. Here it is proposed a classifier local accuracy measurement technique which is used to dynamic classifier selection algorithm. From the result and performance analysis it can be said that numerous classifier selection schemes give better performance than single classifier and dynamic classifier selection algorithm using proposed classifier local accuracy measurement technique gives stable high and better performance.

References
  1. International Journal of Computer Applications (0975 – 8887),Volume 91 – No. 15, April 2014
  2. Giorgio Giacinto, Fabio Roli, "Dynamic Classifier Selection based on Multiple Classifier Behaviour". 2001
  3. Giorgio Giacinto, Fabio Roli, "A Theoretical Framework for Dynamic Classifier Selection," icpr, vol. 2, pp. 2008, 15th International Conference on Pattern Recognition (ICPR'00) - Volume 2, 2000.
  4. Sentayehu Endeshaw Wolde, Dr. Kumudha Raimond, "Face Recognition using Artificial Neural Network", ESEE and ECE Department of Jimma University, August 17, 2008.
  5. Shubhendu Trivedi, Face Recognition using Eigenfaces and Distance Classifiers: A Tutorial, February 11, 2009.
  6. S. N. Sivanandam , S. N. Deepa, "Introduction to Genetic Algorithms", PublisherSpringer Publishing Company, Incorporated ©2007.
  7. Smits, P. C. , "Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection" Geoscience and Remote Sensing, IEEE Transactions on IEEE, vol. 40 pp 801-833 , Apr 2002.
  8. Woods K. Dept. of Comput. Sci. & Eng. , Univ. of South Florida,Tampa,FL Kegelmeyer, W. P. Jr. , Bowyer, K. "Combination of multiple classifiers using local accuracy estimates" Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 19, pp 405-410, Apr 1997.
  9. Nathan J. Leap, Captain, USAF, "An Investigation Of The Effects Of Correlation, Autocorrelation, And Sample Size In Classifier Fusion", Air Force Institute of Technology, Dept. of Operational Science, March 2004.
  10. Jon Shlens," A Tutorial on Principal Component Analysis, Derivation, Discussion and Singular Value Decomposition", jonshelns@ucsd. edu, 25 March 2003.
  11. Philip David Brierley, "Some Practical Applications of neural networks in the electricity industry", engd thesis -1998, canrnfield university UK.
  12. Lindsay I Smith, "A tutorial on Principal Component Analysis", Feburary 26,2002.
  13. DavidE. Goldberg," Genetic Algorithms in Search, Optimization, and Machine Learning ".
  14. S. RAJASEKARAN and G. A. VIJAYALAKSHMI PAI,"Neural Networks, Fuzzy Logic, and Genetic Algorithms Synthesis and Applications".
  15. Paul Dawkins, "LINEAR ALGEBRA".
  16. Rafael C. Gonzalez and Richard E Woods, "Digital Image Processing".
  17. Matthew A. Turk and Alex P. Pentland, "Eigenfaces for Recognition",Journal of Cognitive Neuroscience '1991.
  18. R. Beale and T Jackson, "Neural Computing: An Introduction".
Index Terms

Computer Science
Information Sciences

Keywords

Feature Selection Face Recognition Principal Component Analysis (PCA) Genetic Algorithm (GA) Artificial Neural Network (ANN) AT&T Cambridge face database

Powered by PhDFocusTM