Gender classification: a convolutional neural network approach
An approach using a convolutional neural network (CNN) is proposed for real-time gender classification based on facial images. The proposed CNN architecture exhibits a much reduced design complexity when compared with other CNN solutions applied in pattern recognition. The number of processing layer...
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Main Authors: | Liew, Shan Sung, Khalil-Hani, Mohamed, Ahmad Radzi, Syafeeza, Bakhteri, Rabia |
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Format: | Article |
Language: | English |
Published: |
Turkiye Klinikleri Journal of Medical Sciences
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74139/1/ShanSungLiew2016_Genderclassificationaconvolutionalneural.pdf http://eprints.utm.my/id/eprint/74139/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963815143&doi=10.3906%2felk-1311-58&partnerID=40&md5=c9581d7d53fd3982f2e0e1cab7554d03 |
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