Gender recognition on real world faces based on shape representation and neural network
Gender as a soft biometric attribute has been extensively investigated in the domain of computer vision because of its numerous potential application areas. However, studies have shown that gender recognition performance can be hindered by improper alignment of facial images. As a result, previous e...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/39302/1/Gender%20recognition%20on%20real%20world%20faces%20based%20on%20shape%20representation%20and%20neural%20network.pdf http://psasir.upm.edu.my/id/eprint/39302/ |
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