Gender classification: A convolutional neural network approach

Turkish Journal of Electrical Engineering and Computer Sciences

Volumn 24, Issue 3, 2016, Pages 1248-1264

  Liew, Shan Sung ^a   Khalil Hani, Mohamed ^a   Ahmad Radzi, Syafeeza ^b   Bakhteri, Rabia ^a  

^a UNIVERSITI TEKNOLOGI MALAYSIA   (Malaysia)

^b UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

Author keywords

Backprop agation; Convolutional neural network; Fused convolutional and subsampling layers; Gender classification

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; CONVOLUTION; LEARNING ALGORITHMS; NEURAL NETWORKS; PATTERN RECOGNITION; SOCIAL SCIENCES;

BACKPROPAGATION LEARNING ALGORITHM; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; COMPUTATIONAL LOADS; CONVOLUTIONAL NEURAL NETWORK; GENDER CLASSIFICATION; GENDER RECOGNITION; SUBSAMPLING LAYERS;

IMAGE CLASSIFICATION;

EID: 84963815143     PISSN: 13000632     EISSN: 13036203     Source Type: Journal    
DOI: 10.3906/elk-1311-58     Document Type: Article

References (21)

1. Tivive FHC, Bouzerdoum A. A gender recognition system using shunting inhibitory convolutional neural networks. In: International Joint Conference on Neural Networks; 2006; Vancouver, Canada. New York, NY, USA: IEEE. pp. 5336-5341.
2. Khalajzadeh H, Mansouri M, Teshnehlab M. Face recognition using convolutional neural network and simple logistic classifier. Stud Comp Intell 2013; 223: 197-207.
3. Strigl D, Kofler K, Podlipnig S. Performance and scalability of GPU-based convolutional neural networks. In: 18th Euromicro International Conference on Parallel, Distributed and Network-Based Processing; 17-19 February 2010; Pisa, Italy. New York, NY, USA: IEEE. pp. 317-324.
4. LeCun Y, Bottou L, Bengio Y, Haffner P. Gradient-based learning applied to document recognition. P IEEE 1998; 86: 2278-2324.
5. Duffner S. Face Image Analysis with Convolutional Neural Networks. Munich, Germany: GRIN Verlag, 2009.
6. Fan J, Wei X, Ying W, Yihong G. Human tracking using convolutional neural networks. IEEE T Neural Networ 2010; 21: 1610-1623.
7. Lian HC, Lu BL. Multi-view gender classification using local binary patterns and support vector machines. Lect Notes Comput Sc 2006; 3972: 202-209.
8. Nazir M, Ishtiaq M, Batool A, Jaffar MA, Mirza AM. Feature selection for efficient gender classification. In: Proceedings of the 11th WSEAS International Conference; 2010. pp. 70-75.
9. Golomb BA, Lawrence DT, Sejnowski TJ. SEXNET: A neural network identifies sex from human faces. In: Proceedings of NIPS; 1990. pp. 572-579.
10. Sun Z, Yuan X, Bebis G, Louis SJ. Neural-network-based gender classification using genetic search for eigen- feature selection. In: Proceedings of the 2002 International Joint Conference on Neural Networks; 12-17 May 2002; Honolulu, HI, USA. New York, NY, USA: IEEE. pp. 2433-2438.
11. Dawwd SA, Mahmood BS. Video Based Face Recognition Using Convolutional Neural Network. Rijeka, Croatia: InTech, 2011.
12. Simard PY, Steinkraus D, Platt JC. Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis. Redmond, WA, USA: Microsoft Research, 2003.
13. Mamalet F, Garcia C. Simplifying Conv Nets for fast learning. In: Villa A, Duch W, Erdi P, Masulli F, Palm G, editors. Artificial Neural Networks and Machine Learning - ICANN 2012. Vol. 7553. Berlin, Germany: Springer, 2012, pp. 58-65.
14. Ji S, Wei X, Ming Y, Kai Y. 3D convolutional neural networks for human action recognition. IEEE T Patten Anal 2013; 35: 221-231.
15. Mamalet F, Roux S, Garcia C. Embedded facial image processing with convolutional neural networks. In: Proceedings of 2010 IEEE International Symposium on Circuits and Systems; 30 May-2 June 2010; Paris, France. New York, NY, USA: IEEE. pp. 261-264.
16. LeCun Y, Bottou L, Orr G, Muller KR. Efficient BackProp. Lect Notes Comp Sc 2002; 1524: 9-50.
17. Khan MNA, Qureshi SA, Riaz N. Gender classification with decision trees. International Journal of Signal Process-ing, Image Processing and Pattern Recognition 2013; 6: 165-176.
18. Majid A, Khan A, Mirza AM. Gender classification using discrete cosine transformation: A comparison of different classifiers. In: 7th International Multi Topic Conference; 9 December 2003; Islamabad, Pakistan. New York, NY, USA: IEEE. pp. 59-64.
19. Jiao Y, Yang J, Fang Z, Xie S, Park D. Comparing studies of learning methods for human face gender recognition. Lect Notes Comp Sc 2012; 7701: 67-74.
20. Basha AF, Jahangeer GSB. Face gender image classification using various wavelet transform and support vector machine with various kernels. International Journal of Computer Science Issues 2012; 9: 150-157.
21. Berbar M. Three robust features extraction approaches for facial gender classification. Visual Comput 2013; 30: 19-31.