Improving the Accuracy of Gender Classification Based on Skin Tone Using Convolutional Neural Network: Transfer Learning (CNN-TL)

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Improving the Accuracy of Gender Classification Based on Skin Tone Using Convolutional Neural Network: Transfer Learning (CNN-TL)

Gender classification is one of the key features in soft biometrics besides age, ethnicity, facial expression, etc. Gender classification based on skin tone has its own importance that can further improve the performance of facial recognition systems. Most Convolutional Neural Network (CNN) models r...

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Bibliographic Details
Published in:	Lecture Notes in Electrical Engineering
Main Author:	Mustapha M.F.; Mohamad N.M.; Ab Hamid S.H.; Abdul Aziz N.A.S.
Format:	Conference paper
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190359136&doi=10.1007%2f978-981-99-9005-4_62&partnerID=40&md5=9183111e67e178912685cecebf95d589

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