AFIF4: Deep gender classification based on AdaBoost-based fusion of isolated facial features and foggy faces

Author:

Afifi MahmoudORCID,Abdelhamed Abdelrahman

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference49 articles.

1. A review of facial gender recognition;Ng;Pattern Anal. Appl.,2015

2. Handbook of Face Recognition;Jain,2011

3. Gender classification based on fusion of different spatial scale features selected by mutual information from histogram of lbp, intensity, and shape;Tapia;IEEE Trans. Informat. Forens. Sec.,2013

4. Gender classification by combining clothing, hair and facial component classifiers;Li;Neurocomputing,2012

5. Impact of facial cosmetics on automatic gender and age estimation algorithms;Chen,2014

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