Gender classification based on fusion of different spatial scale features selected by mutual information from histogram of LBP, intensity, and shape

IEEE Transactions on Information Forensics and Security

Volumn 8, Issue 3, 2013, Pages 488-499

  Tapia, Juan E ^a   Perez, Claudio A ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

Feature fusion; feature selection; gender classification; local binary patterns; mutual information

Indexed keywords

CONDITIONAL MUTUAL INFORMATION; CONTROLLED CONDITIONS; FACE IMAGES; FEA-TURE SELECTIONS; FEATURE FUSION; GENDER CLASSIFICATION; LBP FEATURES; LOCAL BINARY PATTERNS; MAXIMAL RELEVANCE; MUTUAL INFORMATION MEASURES; MUTUAL INFORMATIONS; NORMALIZED MUTUAL INFORMATION; PROCESSING TIME; REAL-TIME APPLICATION; SPATIAL SCALE;

SOCIAL SCIENCES;

FEATURE EXTRACTION;

EID: 84874610330     PISSN: 15566013     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIFS.2013.2242063     Document Type: Article

References (43)

1. V. Axelrod and G. Yovel, "External facial featuresmodify the representation of internal facial features in the fusiform face area, " NeuroImage, vol. 52, no. 2, pp. 720-725, 2010
2. C. A. Perez, C. M. Aravena, J. I. Vallejos, P. A. Estevez, and C. M. Held, "Face and iris localization using templates designed by particle swarm optimization, " Pattern Recognit. Lett., vol. 31, no. 9, pp. 857-868, 2010
3. C. A. Perez, L. A. Cament, and L. E. Castillo, "Methodological improvement on local gabor face recognition based on feature selection and enhanced borda count, " Pattern Recognit., vol. 44, no. 4, pp. 951-963, 2011
4. C. Perez, V. Lazcano, P. Estevez, and C. Estevez, "Real-time iris detection on faces with coronal axis rotation, " IEEE Trans. Syst., Man, Cybern., C, Applicat. Rev., vol. 37, no. 5, pp. 971-978, Sep. 2007 (Pubitemid 47323566)
5. J. Bekios-Calfa, J. Buenaposada, and L. Baumela, "Revisiting linear discriminant techniques in gender recognition, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 4, pp. 858-864, Apr. 2011
6. N. Kwak and C.-H. Choi, "Input feature selection for classification problems, " IEEE Trans. Neural Netw., vol. 13, no. 1, pp. 143-159, Jan. 2002 (Pubitemid 34236844)
7. R. Battiti, "Using mutual information for selecting features in supervised neural net learning, " IEEE Trans. Neural Netw., vol. 5, no. 4, pp. 537-550, Jul. 1994
8. C. Ding and H. Peng, "Minimum redundancy feature selection from microarray gene expression data, " in Proc. IEEE Bioinformatics Conf. CSB 2003, pp. 523-528
9. P. A. Estevez, M. Tesmer, C. A. Perez, and J. M. Zurada, "Normalized mutual information feature selection, " IEEE Trans. Neural Netw., vol. 20, no. 2, pp. 189-201, Feb. 2009
10. F. Fleuret and I. Guyon, "Fast binary feature selection with conditional mutual information, " J. Mach. Learning Res., vol. 5, pp. 1531-1555, 2004
11. H. Liu, J. Sun, L. Liu, and H. Zhang, "Feature selection with dynamic mutual information, " Pattern Recognit., vol. 42, no. 7, pp. 1330-1339, 2009
12. H. Peng, F. Long, and C. Ding, "Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226-1238, Aug. 2005 (Pubitemid 41245053)
13. B. Jun, T. Kim, and D. Kim, "A compact local binary pattern using maximization of mutual information for face analysis, " Pattern Recognit., vol. 44, no. 3, pp. 532-543, 2011
14. M. Turk and A. Pentland, "Face recognition using eigenfaces, " in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 1991 (CVPR '91), Jun. 1991, pp. 586-591
15. P. N. Belhumeur, J. a. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997 (Pubitemid 127762263)
16. K. Fukunaga and J. M. Mantock, "Nonparametric discriminant analysis, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 5, no. 6, pp. 671-678, Jun. 1983
17. T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971-987, Jul. 2002 (Pubitemid 34835471)
18. Z. Guo, L. Zhang, and D. Zhang, "A completed modeling of local binary pattern operator for texture classification, " IEEE Trans. Image Process., vol. 19, no. 6, pp. 1657-1663, Jun. 2010
19. Z. Zhang and E. Hancock, "Feature selection for gender classification, " in Pattern Recognition and Image Analysis, ser. LectureNotes inComputer Science, J. Vitrià, J. Sanches, and M. Hernández, Eds. Berlin/Heidelberg, Germany: Springer, 2011, vol. 6669, pp. 76-83
20. Z. Zhang, E. Hancock, and J. Wu, "An information theoretic approach to gender feature selection, " in Proc. IEEE Int. Conf. Computer Vision Workshops (ICCV Workshops), Nov. 2011, pp. 1425-1431
21. C. Frank and E. Noth, "Automatic pixel selection for optimizing facial expression recognition using eigenfaces, " Pattern Recognit., vol. 2781, pp. 378-385, 2003
22. S.-I. Choi, C.-H. Choi, and G.-M. Jeong, "Pixel selection in a face image based on discriminant features for face recognition, " in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition, 2008, pp. 1-6
23. B. Li, X.-C. Lian, and B.-L. Lu, "Gender classification by combining clothing, hair and facial component classifiers, " Neurocomputing, vol. 76, no. 1, pp. 18-27, 2012, Seventh International Symposium onNeural Networks Advances in Web Intelligence
24. Z. Xu, L. Lu, and P. Shi, "A hybrid approach to gender classification from face images, " in Proc. 19th Int. Conf. Pattern Recognition, 2008 (ICPR 2008), Dec. 2008, pp. 1-4
25. C. Perez, J. Tapia, P. Estévez, and C. Held, "Gender classification from face images using mutual information and feature fusion, " Int. J. Optomechatronics, vol. 6, no. 1, pp. 92-119, 2012
26. E. Makinen and R. Raisamo, "An experimental comparison of gender classifications methods, " Pattern Recognit. Lett., vol. 29, pp. 1544-1556, 2008b
27. E. Makinen and R. Raisamo, "Evaluation of gender classification methods with automatically detected and aligned faces, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 3, pp. 541-547, Mar. 2008 (Pubitemid 351280060)
28. M.-H. Yang and B. Moghaddam, "Support vector machines for visual gender classification, " in Proc. 15th Int. Pattern Recognition Conf., 2000, vol. 1, pp. 1115-1118
29. M.-H. Yang and B. Moghaddam, "Gender classification using support vector machines, " in Proc. Int. Image Processing Conf., 2000, vol. 2, pp. 471-474 (Pubitemid 32465661)
30. Z. Sun, X. Yuan, G. Bebis, and S. J. Louis, "Neural-network-based gender classification using genetic search for eigen-feature selection, " in Proc. Int. Joint Conf. Neural Networks (IJCNN '02), 2002, vol. 3, pp. 2433-2438 (Pubitemid 34648013)
31. B. Wu, H. Ai, and C. Huang, "Lut-based adaboost for gender classification, " in Proc. 4th Int. Conf. Audio-and Video-Based Biometric Person Authentication, 2003, pp. 104-110
32. P. J. Phillips, H. Moon, P. Rauss, and S. A. Rizvi, "The FERET evaluation methodology for face-recognition algorithms, " in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 1997, pp. 137-143
33. P. J. Flynn, K. W. Bowyer, and P. J. Phillips, "Assessment of time dependency in face recognition: An initial study, " Assessment of Time Dependency in Face Recognition: An Initial Study, pp. 44-51, 2003
34. G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller, Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments University ofMassachusetts, Amherst, MA, USA, Tech. Rep., Oct. 2, 2007, pp. 7-49
35. L. A. Alexandre, "Gender recognition: Amultiscale decision fusion approach, " Pattern Recognit. Lett., vol. 31, no. 11, pp. 1422-1427, 2010
36. C. Shan, "Learning local binary patterns for gender classification on real-world face images, " Pattern Recognit. Lett., vol. 33, no. 4, pp. 431-437, 2012
37. A. Martinez and R. Benavente, The AR Face Database Tech. Rep. 24, CVC, 1998
38. H. Cheng, Z. Qin, W. Qian, and W. Liu, "Conditional mutual information based feature selection, " in Proc. Int. Symp. Knowledge Acquisition and Modeling (KAM '08), 2008, pp. 103-107
39. G. Wang and F. H. Lochovsky, "Feature selection with conditional mutual information maximin in text categorization, " in Proc. 13th ACM Int. Conf. Information and Knowledge Management, 2004, pp. 342-349 (Pubitemid 40673472)
40. Z. Guo, L. Zhang, and D. Zhang, "Rotation invariant texture classification using LBP variance (LBPv) with global matching, " Pattern Recognit., vol. 43, pp. 706-719, Mar. 2010
41. A. Cuevas, M. Febrero, and R. Fraiman, "An ANOVA test for functional data, " Computat. Statist. Data Anal., vol. 47, no. 1, pp. 111-122, 2004
42. A. R. Webb, Statistical Pattern Recognition. Hoboken, NJ, USA: Wiley, 2002, ISBN: 0-470-84513-9
43. T. M. Cover and J. A. Thomas, Elements of Information Theory, ser. Wiley Series in Telecommunications. Hoboken, NJ, USA: Wiley, 1991.