Gender classification: a convolutional neural network approach

• Main Authors: Liew, Shan Sung, Khalil-Hani, Mohamed, Ahmad Radzi, Syafeeza, Bakhteri, Rabia
• Format: Article
• Language: English
• Published: Turkiye Klinikleri Journal of Medical Sciences 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• 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

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...