Evaluation of face recognition system using support vector machine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Face recognition is an interest subject in pattern recognition study for machine learning applications. It is a non-intrusive system which requires minimal participation from user in order to perform identification tasks. In this paper we present a face recognition system based on Support Vector Machine (SVM) which acts as a multiclass classifier. The performance of this system is evaluated using Yale database with various facial expressions and illumination conditions. This method train and test the images with raw image data of 625 features. The result has achieved an encouraging recognition rates compares to Principal Component Analysis method (PCA).

Original languageEnglish
Title of host publicationSCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development
Pages139-141
Number of pages3
DOIs
Publication statusPublished - 2009
Event2009 IEEE Student Conference on Research and Development, SCOReD2009 - Serdang
Duration: 16 Nov 200918 Nov 2009

Other

Other2009 IEEE Student Conference on Research and Development, SCOReD2009
CitySerdang
Period16/11/0918/11/09

Fingerprint

Face recognition
Support vector machines
Principal component analysis
Pattern recognition
Learning systems
Classifiers
Lighting

Keywords

  • Face recognition
  • Multiclass SVM
  • Principal component analysis
  • Support vector machine

ASJC Scopus subject areas

  • Biomedical Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Sani, M. M., Ishak, K. A., & Abdul Samad, S. (2009). Evaluation of face recognition system using support vector machine. In SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development (pp. 139-141). [5443223] https://doi.org/10.1109/SCORED.2009.5443223

Evaluation of face recognition system using support vector machine. / Sani, Maizura Mohd; Ishak, Khairul Anuar; Abdul Samad, Salina.

SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. p. 139-141 5443223.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sani, MM, Ishak, KA & Abdul Samad, S 2009, Evaluation of face recognition system using support vector machine. in SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development., 5443223, pp. 139-141, 2009 IEEE Student Conference on Research and Development, SCOReD2009, Serdang, 16/11/09. https://doi.org/10.1109/SCORED.2009.5443223
Sani MM, Ishak KA, Abdul Samad S. Evaluation of face recognition system using support vector machine. In SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. p. 139-141. 5443223 https://doi.org/10.1109/SCORED.2009.5443223
Sani, Maizura Mohd ; Ishak, Khairul Anuar ; Abdul Samad, Salina. / Evaluation of face recognition system using support vector machine. SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development. 2009. pp. 139-141
@inproceedings{cc71140819214aac84160a96fd74060d,
title = "Evaluation of face recognition system using support vector machine",
abstract = "Face recognition is an interest subject in pattern recognition study for machine learning applications. It is a non-intrusive system which requires minimal participation from user in order to perform identification tasks. In this paper we present a face recognition system based on Support Vector Machine (SVM) which acts as a multiclass classifier. The performance of this system is evaluated using Yale database with various facial expressions and illumination conditions. This method train and test the images with raw image data of 625 features. The result has achieved an encouraging recognition rates compares to Principal Component Analysis method (PCA).",
keywords = "Face recognition, Multiclass SVM, Principal component analysis, Support vector machine",
author = "Sani, {Maizura Mohd} and Ishak, {Khairul Anuar} and {Abdul Samad}, Salina",
year = "2009",
doi = "10.1109/SCORED.2009.5443223",
language = "English",
isbn = "9781424451876",
pages = "139--141",
booktitle = "SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development",

}

TY - GEN

T1 - Evaluation of face recognition system using support vector machine

AU - Sani, Maizura Mohd

AU - Ishak, Khairul Anuar

AU - Abdul Samad, Salina

PY - 2009

Y1 - 2009

N2 - Face recognition is an interest subject in pattern recognition study for machine learning applications. It is a non-intrusive system which requires minimal participation from user in order to perform identification tasks. In this paper we present a face recognition system based on Support Vector Machine (SVM) which acts as a multiclass classifier. The performance of this system is evaluated using Yale database with various facial expressions and illumination conditions. This method train and test the images with raw image data of 625 features. The result has achieved an encouraging recognition rates compares to Principal Component Analysis method (PCA).

AB - Face recognition is an interest subject in pattern recognition study for machine learning applications. It is a non-intrusive system which requires minimal participation from user in order to perform identification tasks. In this paper we present a face recognition system based on Support Vector Machine (SVM) which acts as a multiclass classifier. The performance of this system is evaluated using Yale database with various facial expressions and illumination conditions. This method train and test the images with raw image data of 625 features. The result has achieved an encouraging recognition rates compares to Principal Component Analysis method (PCA).

KW - Face recognition

KW - Multiclass SVM

KW - Principal component analysis

KW - Support vector machine

UR - http://www.scopus.com/inward/record.url?scp=77952586712&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952586712&partnerID=8YFLogxK

U2 - 10.1109/SCORED.2009.5443223

DO - 10.1109/SCORED.2009.5443223

M3 - Conference contribution

SN - 9781424451876

SP - 139

EP - 141

BT - SCOReD2009 - Proceedings of 2009 IEEE Student Conference on Research and Development

ER -