A Comparative Study On Textures Descriptors In Facial Gender Classification

The aim of this work is to investigate global and local image descriptors impact on facial gender classification by carrying out an independent comparative study among several texture descriptors algorithms. In this paper, we consider three global descriptors namely, Gray-Level Co-Occurrence Matrix (GLCM), Gabor Wavelet Transform (GWT) and Autocorrelation Function (ACF). On the other hand, we consider four local image descriptors called, Local Binary Patterns (LBP), Local Directional Pattern (LDP), Local Phase Quantization (LPQ) and Binarized Statistical Image Features (BSIF). The experimental comparison proofs that the local image descriptors are more efficient than the global ones in facial gender classification. All the experiments conducted on the Image of Groups (IoG) database.

[1]  Caifeng Shan.  Learning local features for age estimation on real-life faces , 2010, MPVA '10.

[2]  Ville Ojansivu,et al.  Blur Insensitive Texture Classification Using Local Phase Quantization , 2008, ICISP.

[3]  Fadi Dornaika,et al.  Pyramid multi-level features for facial demographic estimation , 2017, Expert Syst. Appl..

[4]  Abdelmalik Taleb-Ahmed,et al.  Face spoofing detection from single images using active shape models with Stasm and LBP , 2015 .

[5]  Abdenour Hadid,et al.  Facial age estimation and gender classification using multi level local phase quantization , 2015, 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT).

[6]  Francesco Bianconi,et al.  Rotation invariant co-occurrence features based on digital circles and discrete Fourier transform , 2014, Pattern Recognit. Lett..

[7]  Matti Pietikäinen,et al.  Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[9]  Andrew C. Gallagher,et al.  Understanding images of groups of people , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Abdelmalik Taleb-Ahmed,et al.  Facial age estimation using BSIF and LBP , 2016, ArXiv.

[11]  Oksam Chae,et al.  Gender Classification Using Local Directional Pattern (LDP) , 2010, 2010 20th International Conference on Pattern Recognition.

[12]  Renée Heilbronner,et al.  The autocorrelation function: an image processing tool for fabric analysis , 1992 .

[13]  Esa Rahtu,et al.  BSIF: Binarized statistical image features , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).