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

Gender Identification from Facial Image using Compound Local Binary Pattern (CLBP

by Emam Hossain, Shayla Azad Bhuyan, Faisal Ahmed
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 3
Year of Publication: 2014
Authors: Emam Hossain, Shayla Azad Bhuyan, Faisal Ahmed
10.5120/17504-8052

Emam Hossain, Shayla Azad Bhuyan, Faisal Ahmed . Gender Identification from Facial Image using Compound Local Binary Pattern (CLBP. International Journal of Computer Applications. 100, 3 ( August 2014), 9-13. DOI=10.5120/17504-8052

@article{ 10.5120/17504-8052,
author = { Emam Hossain, Shayla Azad Bhuyan, Faisal Ahmed },
title = { Gender Identification from Facial Image using Compound Local Binary Pattern (CLBP },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 3 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 9-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number3/17504-8052/ },
doi = { 10.5120/17504-8052 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:58.529509+05:30
%A Emam Hossain
%A Shayla Azad Bhuyan
%A Faisal Ahmed
%T Gender Identification from Facial Image using Compound Local Binary Pattern (CLBP
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 3
%P 9-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic identification of male and female from facial image allows many useful applications in biometrics, surveillance, and human-computer interaction. This paper presents a robust face feature descriptor for gender classification from facial image. The proposed method is based on the compound local binary pattern (CLBP), an extension of the LBP texture operator. The CLBP operator exploits 2P bits to encode the information of a local neighborhood of P neighbors, where P bits are used to express the sign information and the other P bits are used to express the magnitude information of the differences between the center and the neighbor gray values. The performance of the proposed method has been evaluated using a large dataset comprising 1800 facial images collected from the FERET database. Extensive experiments with support vector machine classifier show the superiority of the CLBP feature descriptor against some well-known texture operators.

References
  1. T. Jabid, M. H. Kabir, O. Chae, "Local directional pattern (ldp) for face recognition," International Journal of Innovative Computing, Information and Control, Vol. 8, No. 4, pp. 2423–2437, 2012.
  2. H. C. Kim, D. Kim, Z. Ghahramani, S. Y. Bang, "Appearance-based gender classification with gaussian processes," Pattern Recognition Letters, Vol. 27, No. 6, pp. 618–626, 2006.
  3. F. Ahmed, M. H. Kabir, "Facial feature representation with directional ternary pattern (dtp): Application to gender classification," in Proceedings of the IEEE International Conference on Information Reuse and Integration, USA, 2012, pp. 159–164.
  4. A. B. A. Graf, F. A. Wichmann, "Gender classification of human faces," in Proceedings of the International Workshop on Biologically Motivated Computer Vision, LNCS 2525, 2002, pp. 1–8.
  5. A. Shobeirinejad, Y. Gao, "Gender classification using interlaced derivative patterns," in Proceedings of the International Conference on Pattern Recognition, 2010, pp. 1509–1512.
  6. X. Tan, B. Triggs, "Enhanced local texture feature sets for face recognition under difficult lighting conditions," in Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures, LNCS 4778, 2007, pp. 168–182.
  7. F. Ahmed, "Gradient directional pattern: a robust feature descriptor for facial expression recognition," IET Electronics Letters, Vol. 48, No. 19, 2012, pp. 1203–1204.
  8. W. Zhao, R. Chellappa, P. J. Phillips, "Face recognition: A literature survey," ACM Computing Survey, Vol. 35, No. 4, pp. 399–458, 2003.
  9. B. Fasel, J. Luettin, "Automatic facial expression analysis: A survey," Pattern Recognition, Vol. 36, No. 1, pp. 259– 275, 2003.
  10. E. Makinen, R. Raisamo, "An experimental comparison of gender classification methods," Pattern Recognition Letters, Vol. 29, pp. 1544–1556, 2008.
  11. E. Makinen, "Evaluation of gender classification methods with automatically detected and aligned faces," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, pp. 541–547, 2008.
  12. F. Ahmed, H. Bari, E. Hossain, "Person-independent facial expression recognition based on compound local binary pattern (clbp)," International Arab Journal of Information Technology, Vol. 11, No. 2, 2013.
  13. R. Brunelli, T. Poggio, "Hyperbf networks for gender classification," in Proceedings of the DARPA Image Understanding Workshop, 1992, pp. 311–314.
  14. H. Abdi, D. Valentin, B. Edelman, A. O'Toole, "More about the difference between men and women: Evidence from linear neural network and principal component approach," Neural Computing, Vol. 7, No. 6, pp. 1160–1164, 1995.
  15. T. Jabid, M. H. Kabir, O. Chae, "Robust facial expression recognition based on local directional pattern," ETRI Journal, Vol. 32, No. 5, pp. 784–794, 2010.
  16. Z. Sun, G. Bebis, X. Yuan, S. J. Louis, "Genetic feature subset selection for gender classification: A comparison study," in Proceeding of the IEEE Workshop on Applications of Computer Vision, 2002, pp. 165–170.
  17. A. Jain, J. Huang, "Integrating independent components and linear discriminant analysis for gender classification," in Proceeding of the International Conference on Automatic Face and Gesture Recognition, 2004, pp. 159–163.
  18. M. Lyons, J. Budynek, A. Plante, S. Akamatsu, "Classifying facial attributes using a 2-d gabor wavelet representation and discriminant analysis," in Proceeding of the International Conference on Automatic Face and Gesture Recognition, 2000, pp. 202–207.
  19. S. Zhao, Y. Gao, B. Zhang, "Sobel-lbp," in Proceeding of the IEEE International Conference on Image Processing, 2008, pp. 2144–2147.
  20. T. Jabid, M. H. Kabir, O. Chae, "Local directional pattern for face recognition," in Proceeding of the IEEE International Conference on Consumer Electronics, 2010, pp. 329–330.
  21. F. Ahmed, M. H. Kabir, "Directional ternary pattern (dtp) for facial expression recognition," in Proceeding of the IEEE International Conference on Consumer Electronics, 2012, pp. 265–266.
  22. H. Kabir, T. Jabid, O. Chae, "Local directional pattern variance (ldpv): A robust feature descriptor for facial expression recognition," International Arab Journal of Information Technology, Vol. 9, pp. 382–391, 2012.
  23. N. Sun, W. Zheng, C. Sun, C. Zou, L. Zhao, "Gender classification based on boosting local binary pattern," in Proceeding of the International Symposium on Neural Networks, No. 2, 2006, pp. 194–201.
  24. H. Lian, B. Lu, "Multi-view gender classification using local binary patterns and support vector machines," in Proceeding of the International Symposium on Neural Networks, No. 2, 2006, pp. 202–209.
  25. G. Zhao, M. Pietikainen, "Boosted multi-resolution spatiotemporal descriptors for facial expression recognition," Pattern Recognition Letters, Vol. 30, No. 12, pp. 1117–1127, 2009.
  26. T. Jabid, M. H. Kabir, O. Chae, "Gender classification using local directional pattern (ldp)," in Proceeding of the International Conference on Pattern Recognition, 2010, pp. 2162–2165.
  27. F. Ahmed, E. Hossain, "Automated facial expression recognition using gradient-based ternary texture patterns," Chinese Journal of Engineering, Vol. 2013, Article ID 831747, 2013
  28. P. Phillips, H. Wechler, J. Huang, P. Rauss, "The feret database and evaluation procedure for face recognition algorithms," Image and Vision Computing, Vol. 16, No. 10, pp. 295–306, 1998.
  29. T. Ojala, M. Pietikainen, T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, pp. 971–987, 2002.
  30. T. Ahonen, A. Hadid, M. Pietikainen, "Face description with local binary patterns: Application to face recognition," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 28, No. 12, pp. 2037–2041, 2006.
  31. C. Shan, S. Gong, P. W. McOwan, "Facial expression recognition based on local binary patterns: A comprehensive study," Image and Vision Computing, Vol. 27, No. 6, pp. 803–816, 2009.
  32. D. He, N. Cercone, "Local triplet pattern for contentbased image retrieval," in Proceeding of the International Conference on Image Analysis and Recognition, 2009, pp. 229–238.
  33. S. Gundimada, V. K. Asari, "Facial Recognition Using Multisensor Images Based on Localized Kernel Eigen Spaces," IEEE Transactions on Image Processing, Vol. 18, No. 6, pp. 1314?1325, 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Compound LBP (CLBP) Local texture Gender classification Support vector machine (SVM).

Powered by PhDFocusTM