Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches

Online Handwriting-Based Gender Recognition Using Statistical and Machine Learning Approaches

The classification of gender from handwriting is a challenging issue that have great attention recently. Most of the exiting works were conducted on gender classification using face image and offline handwritten texts. This study explored an automated system for gender classification from online han...

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Bibliographic Details
Main Authors: Jungpil Shin, Yuta Uchida, Md. Maniruzzaman, Koki Hirooka, Akiko Megumi, Akira Yasumura
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online analysis
handwritten
gender recognition
statistical analysis
machine learning
Online Access:https://ieeexplore.ieee.org/document/10587248/

Internet

https://ieeexplore.ieee.org/document/10587248/

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