Gender recognition using nonsubsampled contourlet transform and WLD descriptor

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7944 LNCS, Issue , 2013, Pages 373-383

  Hussain, Muhammad ^a   Al Otaibi, Sarah ^a   Muhammad, Ghulam ^a   Aboalsamh, Hatim ^a   Bebis, George ^b   Mirza, Anwar M ^a  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

^b Reno   (United States)

Author keywords

Face recognition; Gender recognition; Nonsubsampled Contourlet Transform; Support Vector Machines; WLD Descriptor

Indexed keywords

BIOMETRIC TECHNOLOGY; DESCRIPTORS; FERET DATABASE; GENDER RECOGNITION; NON-SUB-SAMPLED CONTOURLET TRANSFORMS; STATE-OF-THE-ART METHODS; TEXTURE DESCRIPTORS; TEXTURE FEATURES;

BIOMETRICS; FACE RECOGNITION; FEATURE EXTRACTION; IMAGE ANALYSIS; SUPPORT VECTOR MACHINES;

SOCIAL SCIENCES;

EID: 84884482296     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38886-6_36     Document Type: Conference Paper

References (13)

1. Zang, J., Lu, B.L.: A support vector machine classifier with automatic confidence and its application to gender classification. Neurocomputing 74, 1926-1935 (2011)
2. Moghaddam, B., Yang, M.-H.: Gender classification with support vector machines. In: Proc. IEEE International Conference on Automatic Face and Gesture Recognition, pp. 306-311 (March 2000)
3. Gutta, S., Wechsler, H., Phillips, P.: Gender and ethnic classification of face images. In: Third IEEE International Conference on Automatic Face and Gesture Recognition (FG 1998), pp. 194-199 (1998)
4. Ullah, I., Hussain, M., Aboalsamh, H., Muhammad, G., Mirza, A.M., Bebis, G.: Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Fowlkes, C., Wang, S., Choi, M.-H., Mantler, S., Schulze, J., Acevedo, D., Mueller, K., Papka, M. (eds.) ISVC 2012, Part II. LNCS, vol. 7432, pp. 409-419. Springer, Heidelberg (2012)
5. Baluja, S., Rowley, H.: Boosting sex identification performance. International Journal of Computer Vision 71(1), 111-119 (2007)
6. Lu, L., Shi, P.: Fusion of multiple facial regions for expression-invariant gender classification. IEICE Electronic Express 6(10), 587-593 (2009)
7. Alexandre, L.A.: Gender recognition: A multiscale decision fusion approach. Pattern Recognition Letters 31, 1422-1427 (2010)
8. Zhou, J., Cunha, A.L., Do, M.N.: Nonsubsampledcontourlet transform: construction and application in enhancement. In: Proc. ICIP 2005, pp. I 469-72 (2005)
9. Chen, J., Shan, S., He, C., Zhao, G., Pietikainen, M., Chen, X., Gao, W.: WLD: A robust local image descriptor. IEEE TPAMI 32(9), 1705-1720 (2010)
10. Hart, P.E., Duda, R.O., Stork, D.G.: Pattern Classification. Wiley-Interscience Publication (2001)
11. Sun, Y., Todorovic, S., Goodison, S.: Local-learning-based feature selection for high-dimensional data analysis. IEEE TPAMI 32(9), 1610-1626 (2010)
12. Phillips, P.J., Moon, H., Rizvi, S.A., Rauss, P.J.: The FERET evaluation methodology for face-recognition algorithms. IEEE TPAMI 22(10), 1090-1104 (2000)
13. Veropoulos, K., Bebis, G., Webster, M.A.: Investigating the impact of face cate-gorization on recognition performance. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds.) ISVC 2005. LNCS, vol. 3804, pp. 207-218. Springer, Heidelberg (2005) (Pubitemid 43828527)