A hybrid technique for gender classification with SLBP and HOG features

Author:

Annalakshmi M.,Roomi S. Mohamed Mansoor,Naveedh A. Sheik

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference41 articles.

1. Feng, L., Yingxiao, W., Yan, Z.: Human gender classification: a review. Int. J. Biom. 8(3/4), 275–300 (2016)

2. Brunelli, R., Poggio, T.: Hyperbf networks for gender classification. In: Proceedings of the DARPA Image Understanding Workshop, pp. 311–314 (1992)

3. Buchala, S., Davey, N., Frank, R., Gale, T., Loomes, M., Kanargard, W.: Gender classification of face images: the role of global and feature-based information Neural in-formation processing, pp. 763–768. Springer, New York (2004)

4. Andreu, Y., Garcia-Sevilla, P., Mollineda, R.A.: Face gender classification: a statistical study when neutral and distorted faces are combined for training and testing purposes. Image Vis. Comput. 32(1), 27–36 (2014). https://doi.org/10.1016/j.imavis.2013.11.001

5. Golomb, B.A., Lawrence, D.T., Sejnowski, T.J.: Sex-net: a neural network identifies sex from human faces. In: Proceedings of Advances in neural information processing systems, pp. 572–577 (1990)

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