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Reseach Article

Face Recognition using Template Matching

by Amandeep Kour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 8
Year of Publication: 2015
Authors: Amandeep Kour

Amandeep Kour . Face Recognition using Template Matching. International Journal of Computer Applications. 115, 8 ( April 2015), 10-13. DOI=10.5120/20170-2329

@article{ 10.5120/20170-2329,
author = { Amandeep Kour },
title = { Face Recognition using Template Matching },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 8 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { },
doi = { 10.5120/20170-2329 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:54:15.061506+05:30
%A Amandeep Kour
%T Face Recognition using Template Matching
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 8
%P 10-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

The traditional approach towards human identification such as fingerprints, identity cards, iris recognition etc. lead to the improvised technique for face recognition. This includes enhancement and segmentation of face image, detection of face boundary and facial features, matching of extracted features against the features in a database, and finally recognition of the face. This research proposes a wavelet transformation for preprocessing the face image, extracting edge image, extracting features and finally matching extracted facial features for face recognition. Simulation is done using ORL database that contains PGM images. This research finds application in homeland security where it can increase the robustness of the existing face recognition algorithms.

  1. Hua GuGuangda Su Cheng Du, "Feature Points Extraction from Faces", Proceedings of the Imageand Vision Computing, New Zealand, 2003.
  2. S. Y. Lee, Y. K. Ham and R. H. Park, "Recognition of Human Front Faces Using Knowledge-Based Feature extraction and Neuro-Fuzzy Algorithm", Pattern Recognition, 1996, 9(11), pp 1863-1876.
  3. Gaurav Mittal ,SreelaSasi ," Robust Preprocessing Algorithm for Face Recognition"Proceedings of the 3rd Canadian conference on Computer and Robot vision, United States ofAmerica , 2006.
  4. R. S. Feris, T. E. de Campos and R. M. Cesar Junior, "Detection and tracking of facial features in video sequences", Lecture Notes in ArtificialIntelligence, 2000, 1793(4), pp. 127-135.
  5. P. S. Hiremath, S. Shivashankar, and JagadeeshPujari "Wavelet based features for color texture classification with application to cbir", IJCSNSInternational Journal of Computer Science and Network Security, VOL. 6 No. 9A, September 2006
  6. BrunelliRroberto, PoggioTomaso "Face recognition: features versus templates", IEEE transactions on pattern analysis and machine intelligence,vol-15,no-2,2007
  7. Omachi Shinichiro, OmachiMasako"fast template matching with polynomials" IEEEtransactions on image processing,vol-16,no-8,2007
  8. SakaliMustafa,Lam kin-man , Yan Hong "A faster converging snake algorithm to locate object boundaries, IEEE transactions on imageprocessing,vol-15,no-5,2006
  9. Smeets Dirk, Claes Peter, HermansJeroen , Vandermeulen Dirk, Suetens Paul, "A comparative Study of 3-D Face recognition under expression variations", IEEE transactions on system , man, andCybernetics,vol-42,no-5,2012
  10. Singh Chandan, WaliaEkta, Mittal Neeraj "Fusion of Zernike moments and SIFT features for improved face recognition" Internationalconference on recent advances and future trends in information technology, IJCA, 2012
  11. LajevardiMehndiSevdi ,Hussain. M. Zahir "Zernike moments for facial expression recognition"International conference oncommunication,computer and power,icccp,2009.
  12. Karungaru Stephen , FukumiMinom and Akamatsunono "Face recognition using Genetic algorithm based template matching" Internationalsymposium on communications and information technologics,2004.
  13. Wang Gamg , DuanHui-Chuan " a template extraction approach for image recognition", IEEE -International symposium on information technology in medicine and education,2012
  14. Lin Sadrina . W Gao Yang, Liu Ray K. J "Template matching for image prediction: A game-theoretical approach", IEEE ICASSP, 2012
  15. HaddadainaJaved, Ahmadi Majid , Faez Karim "An efficient method for recognition of human faces using higher order pseudo Zernike moments invariant",5thIEEE international conference onautomatic face and gesture recognition,2002
  16. Li Junhua, Teng Li "Feature difference matrix QNNH for facial expressions recognition"IEEE,Chinese control and decision conference,2008
  17. Fadzil M. H Ahmad , Choom Cheah Lim "Face recognition system based on neural networks and fuzzy logic" IEEE- International conference onneural network,1997
  18. Xia Xing Su , Yuan GuoTui , Hua Chen Tian " Study an optimal wavelength decomposition level in infrared and visual light image fusion" IEEE,International conference on measuring technologies and electronics automation,2010.
Index Terms

Computer Science
Information Sciences


Face recognition Wavelet transformation edge image extraction feature extraction match features