Gender recognition on real world faces based on shape representation and neural network

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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Bibliographic Details
Main Authors: Arigbabu, Olasimbo Ayodeji, Syed Ahmad, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Yussof, Salman, Iranmanesh, Vahab, Malallah, Fahad Layth
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/39302/
http://psasir.upm.edu.my/id/eprint/39302/1/Gender%20recognition%20on%20real%20world%20faces%20based%20on%20shape%20representation%20and%20neural%20network.pdf

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