Gender recognition from face images with local WLD descriptor

2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012

Volumn , Issue , 2012, Pages 417-420

  Ullah, Ihsan ^a   Hussain, Muhammad ^a   Muhammad, Ghulam ^b   Aboalsamh, Hatim ^a   Bebis, George ^a,c   Mirza, Anwar M ^b  

^a KING SAUD UNIVERSITY   (Saudi Arabia)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

^c Reno   (United States)

Author keywords

Face Recognition; Gender recognition; Local descriptors; Weber's Law Descriptor

Indexed keywords

ALGORITHMIC COMPLEXITY; BIOMETRIC APPLICATIONS; DESCRIPTORS; DISCRIMINATORY POWER; FACE IMAGES; FACIAL IMAGES; FERET DATABASE; GENDER RECOGNITION; LOCAL DESCRIPTORS; NUMBER OF BLOCKS; SPATIAL INFORMATIONS; THREE PARAMETERS;

BIOMETRICS; FACE RECOGNITION;

SOCIAL SCIENCES;

EID: 84863979757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. A. Golom, D. T. Lawrence, and T. J. Sejnowski, "SEXNET: A neural network identifies gender from human faces", Advances in Neural Information Processing Systems, pp. 572-577, 1991
2. B. Edelman, D. Valentin, and H. Adbi, "Sex classification of face areas: how well can a linear neural network predict human performance", Journal of Biological System, Vol. 6(3), pp. 241-264, 1998.
3. Z. Sun, G, Bebis, X. Yuan and S. J. Louis, "Genetic feature subset selection for gender classification: a comparison study", Proc. IEEE Conference on Applications of Computer Vision, pp. 165-170, 2009.
4. S. Gutta, H. Wechsler, and P. Phillips, "Gender and ethnic classification of face images", Third IEEE International Conference on Automatic Face and Gesture Recognition (FG'98), pp. 194-199, 1998
5. Phillips, P.J.,Hyeonjoon M.,Rizvi, S.A. and Rauss, P.J., "The FERET evaluation methodology for face-recognition algorithms," IEEE Trans. Pattern Analysis and Machine Intelligence, , vol. 22, no. 10, pp. 1090- 1104, Oct. 2000.
6. B. Moghaddam and M.-H.Yang, "Gender classification with support vector machines" Proc. IEEE International Conference on Automatic Face and Gesture Recognition, pp. 306-311, March 2000.
7. M. Nakano, F. Yasukata and M. Fukumi, "Age and gender classification from face images using neural networks" Proc. of Signal and Image Processing, 2004.
8. X. Lu, H. Chen and A. K. Jain, "Multimodal facial gender and ethnicity identification", Proc. Advances in Biometrics. Vol. 3832, pp. 554-561, 2005.
9. H.-C. Kim, et al., "Appearance based gender classification with Gaussian processes", Pattern Recognition Letters, 27(6), pp. 618-626, April 2006.
10. Z. Yang, M. Li and H. Ai, "An experimental study on automatic face gender classification", Proc. IEEE Int. Conf. on Pattern Recognition, pp. 1099-1102, 2006.
11. S. Baluja, and H. Rowley, " Boosting sex identification performance", International Journal of Computer Vision, 71(1), pp. 111-119, January 2007.
12. L. Lu and P. Shi, "Fusion of multiple facial regions for expression-invariant gender classification", in IEICE Electron. Exp. 6(10), pp. 587-593, 2009
13. L. A. Alexandre, "Gender recognition: A multiscale decision fusion approach" Pattern Recognition Letters, 31, pp. 1422-1427, 2010.
14. T. Ojala, M. Pietkainen, and T. Maenpaa, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 7, pp. 971-987, July 2002.
15. Jie Chen, Shiguang Shan, Chu He, Guoying Zhao, Matti Pietikainen, Xilin Chen, and Wen Gao, "WLD: A Robust Local Image Descriptor", IEEE Transactions On Pattern Analysis And Machine Intelligence, Vol. 32, No. 9, September 2010
16. J. Zang and B. L. Lu, "A support vector machine classifier with automatic confidence and its application to gender classification", Neurocomputing vol. 74, pp.1926-35, 2011