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...
| Published in: | Lecture Notes in Electrical Engineering |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
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| 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 |