Automatic Gender and Age Classification from Offline Handwriting with Bilinear ResNet

Automatic Gender and Age Classification from Offline Handwriting with Bilinear ResNet

This work focuses on automatic gender and age prediction tasks from handwritten documents. This problem is of interest in a variety of fields, such as historical document analysis and forensic investigations. The challenge for automatic gender and age classification can be demonstrated by the relati...

Full description

Bibliographic Details
Main Authors: Irina Rabaev, Izadeen Alkoran, Odai Wattad, Marina Litvak
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
automatic handwriting analysis
gender classification
age classification
writer’s demographics classification
bilinear CNN
bilinear ResNet
Online Access:https://www.mdpi.com/1424-8220/22/24/9650

Internet

https://www.mdpi.com/1424-8220/22/24/9650

Similar Items