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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/3891624 |