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Face Recognition using Gabor Filter based Feature Vector for Mobile Phones

H. B. Kekre, Vinayak Ashok Bharadi Published in Image Processing

Face Recognition using Gabor Filter based Feature Vector for Mobile Phones
IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
Series Volume ICWAC Number 2
Authors H. B. Kekre, Vinayak Ashok Bharadi
10.5120/icwac1316
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  1. H B Kekre and Vinayak Ashok Bharadi. Article: Face Recognition using Gabor Filter based Feature Vector for Mobile Phones. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(2):6-11, June 2013. BibTeX

    @article{key:article,
	author = "H. B. Kekre and Vinayak Ashok Bharadi",
	title = "Article: Face Recognition using Gabor Filter based Feature Vector for Mobile Phones",
	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
	year = 2013,
	volume = "ICWAC",
	number = 2,
	pages = "6-11",
	month = "June",
	note = "Published by Foundation of Computer Science, New York, USA"
}

Abstract

Face Recognition Systems are becoming ubiquitous and inevitable in today's world. Being less intrusive and universal face recognition systems serve as good option for access control and surveillance. Here we are proposing a simple biometric system based on face authentication for access control of a handheld device like mobile phone or pocket pc. The propose systems hardware requirements are very low and it uses Gabor Filter based feature vector for face recognition. The proposed system uses simpler matching method and less computational overhead. The proposed systems accuracy is high for lower number of users; hence it is suitable for handheld devices as the accessing population is less. We have successfully tested this method on handheld device and results are presented here.

Reference

  1. Jain, A. , Flynn, P. , Ross, A. : Handbook of Biometrics. Springer. USA. ISBN-13: 978-0-387-71040-2, pp. :1-23, 2007
  2. Wikipedia Article, http://en. wikipedia. org/wiki/Biometrics,
  3. Jain, A. , Prabhakar, S. , P. , Ross, A. : An Introduction to Biometric Recognition. In: IEEE Transactions on Circuits and Systems for Video Technology, 14th (1): 4–20, (2004)
  4. O'Gorman, L. : Comparing Passwords, Tokens, and Biometrics for User Authentication. In : Proceedings of the IEEE, 91(12):2019–2040, (2003)
  5. Hietmeyer, R. : Biometric Identification Promises Fast and Secure Processing of Airline Passengers. In : The International Civil Aviation Organization Journal, vol. 55, no. 9, pp. 10- 11, (2000)
  6. M. Turk and A. Pentland, "Eigenfaces for Recognition", J. of Cognitive Neuroscience, Vol. 3, No. 1, pp. 71-86, 1991.
  7. P. N. Belhumeur, J. P. Hespanda, and D. J. Kiregeman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection", IEEE Trans. on PAMI, Vol. 19, No. 7, pp. 711-720, July 1997.
  8. P. C. Yunen, and J. H. Lai, "Face Representation Using Independent Component Analysis", Pattern Recognition, Vol. 35, pp. 1247-1257, 2002.
  9. B. Moghaddam, T. Jebara, and A. Pentland, "Bayesian Face Recognition", Pattern Recognition, Vol. 33, pp. 1771-1782,2000.
  10. L. Wiskott, J. M. Fellous, N. Krüger and C. von der Malsburg, "Face Recognition by Elastic Bunch Graph Matching," IEEE Trans. on PAMI, Vol. 19, No. 7, pp. 775- 779, July, 1997.
  11. X. Wang, X. Tang, "Bayesian Face Recognition Using Gabor Features", Proceedings of ACM International Conference WBMA'03,USA,pp. : 70-73, November 2003
  12. Zhang W. , Shan S. , Chen X, Gao W, "Local Gabor Binary Patterns Based On Mutual Information For Face Recognition", International Journal of Image and Graphics Vol. 7, No. 4 (2007) 777–793, World Scientific
  13. González D. ,Alba-Castro J. , "Shape-Driven Gabor Jets for Face Description and Authentication", IEEE Transactions On Information Forensics And Security, Vol. 2, No. 4, December 2007,DOI = 10. 1109/TIFS. 2007. 910238
  14. Arivazhagan S, Mumtaj J. ,Ganesan L. , "Face Recognition using Multi-Resolution Transform", International Conference on Computational Intelligence and Multimedia Applications 2007, IEEE DOI 10. 1109/ICCIMA. 2007.
  15. Kotani K, Quiu C, Ohmi T, "Face recognition using Vector Quantization Histogram Method", IEEE DOI=0-7803-7622-6/02
  16. Ekenel H. , Stiefelhagen R. , "Local Appearance Based Face Recognition Using Discrete Cosine Transform", IEEE
  17. L. Hong , A. K. Jain , "Fingerprint Image Enhancement : Algorithm and Performance Evaluation", IEEE transaction on Pattern Analysis and Machine Intelligence, Vol. 20, No. 8, August 1998
  18. M. Laadjel, A. Bouridane,F. Kurugollu, S Boussakta, "Palmprint Recognition using Fischer-Gabor Feature Extraction", Proceedings of IEEE International Conference ICASSP 2008, IEEE DOI : 1-4244-1484-9
  19. C. Z. Wen, J. S. Zang, "Palmprint Recognition based on gabor Wavelets and 2-Dimensional PCA", Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern recognition, Beijing, China, IEEE DOI : 1-4244-1066-5/07, 2007
  20. Computer Vision Research Projects , Faces94 Database, http://cswww. essex. ac. uk/mv/allfaces/faces94. html

Keywords

Biometrics, Face recognition, Image processing, Gabor Filters, Handheld Devices