Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks

Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks

Demographic handwriting-based classification problems, such as gender and handedness categorizations, present interesting applications in disciplines like Forensic Biometrics. This work describes an experimental study on the suitability of deep neural networks to three automatic demographic problems...

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Bibliographic Details
Main Authors:	Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno
Format:	Article
Language:	English
Published:	Wiley 2018-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2018/3891624
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