Effect of face and ocular multimodal biometric systems on gender classification

Author:

Eskandari Maryam1,Sharifi Omid1

Affiliation:

1. Department of Computer and Software EngineeringToros UniversityMersinTurkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Moghaddam B. Yang M.H.: ‘Gender classification with support vector machines’.Proc. Fourth IEEE Int. Conf. on Automatic Face and Gesture Recognition IEEE Grenoble France 2000 pp.306–311

2. Evaluation of gender classification methods with automatically detected and aligned faces;Makinen E.;IEEE Trans. Pattern Anal. Mach. Intell.,2008

3. Gender classification technique based on facial features using neural network;Khan A.;Int. J. Comput. Sci. Inf. Technol.,2013

4. Gender classification from face images using mutual information and feature fusion;Perez C.;Int. J. Optomechatronics,2012

5. Gender Classification Based on Fusion of Different Spatial Scale Features Selected by Mutual Information From Histogram of LBP, Intensity, and Shape

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