MULTIMODAL FACIAL GENDER DAN IDENTIFIKASI ETNIK

Jalaluddin Jalaluddin, Fadlisyah Fadlisyah

Abstract


Human faces provide demographic information, such as gender and ethnicity. Different modalities of human faces, e.g., range and intensity, provide different cues for gender and ethnicity identifications. In this paper we exploit the range information of human faces for ethnicity identification using a support vector machine. An integration scheme is also proposed for ethnicity and gender identifications by combining the registered range and intensity images. The experiments are conducted on a database containing 1240 facial scans of 376 subjects. It is demonstrated that the range modality provides competitive discriminative power on ethnicity and gender identifications to the intensity modality. For both gender and ethnicity identifications, the proposed integration scheme outperforms each individual modality.

Full Text:

PDF

References


. R. Malpass and J. Kravitz, “Recognition for faces of own and

other race,” J. Perc. Soc. Psychol., vol. 13, pp. 330–334, 1969.

. J. Brigham and P. Barkowitz, “Do ‘they all look alike?’ the

effect of race, sex, experience and attitudes on the ability to

recognize faces,” J. Appl. Soc. Psychol, vol. 8, pp. 306–318,

. A. O’Toole, A. Peterson, and K. Deffenbacher, “An other-race

effect for classifying faces by sex,” Perception, vol. 25, pp. 669–676, 1996.

. A. Golby, J. Gabrieli, J. Chiao, and J. Eberhardt, “Differential

responses in the fusiform region to same-race and other-race

faces,” Nature Neuroscience, vol. 4, no. 8, pp. 845–850, 2001.

. A. Puce, T. Allison, J. Gore, and G. McCarthy, “Face-sensitive

regions in human extrastriate cortex studied by functional MRI,” J. Neurophysiol., vol. 74, pp. 1192–1199, 1995.

. A. O’Toole, K. Deffenbacher, D. Valentin, and H. Abdi, “Structural aspects of face recognition and the other race effect,” Memory & Cognition, vol. 22, pp. 208–224, 1994.

. A. K. Jain, K. Nandakumar, X. Lu, and U. Park, “Integrating

faces, fingerprints, and soft biometric traits for user recognition,” in LNCS 3087, 2004, pp. 259–269.

. L.G. Farkas, Anthropometry of the Head and Face, Raven Press, 2nd edition, 1994.

. D. Enlow, Facial Growth, W.H. Saunders, 3rd edition, 1990.

. A. O’Toole, T. Vetter, N. F. Troje, and H. H. Bulthoff, “Sex

classification is better with three-dimensional structure than with image intensity information,” Perception, vol. 26, pp. 75– 84, 1997.

. B. Glolomb, D. Lawrence, and T. Sejnowski, “Sexnet: A neural network identifies sex from human faces,” in NIPS, 1990, vol. 3, pp. 572–577.

. S. Gutta, J. Huang, P. Phillips, and H. Wechsler, “Mixture of

experts for classification of gender, ethnic origin, and pose of

human faces,” IEEE Trans. Neural Networks, vol. 11, no. 4, pp.

–960, Jul. 2000.




DOI: https://doi.org/10.29103/techsi.v4i1.106

Article Metrics

 Abstract Views : 201 times
 PDF Downloaded : 3 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2012 Jalaluddin Jalaluddin, Fadlisyah Fadlisyah

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Indexed by:

          

Google Scholar
   
 

 

© Copyright of Journal TECHSI, (e-ISSN:2614-6029, p-ISSN:2302-4836).

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.