Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods

Important Features Selection and Classification of Adult and Child from Handwriting Using Machine Learning Methods

The classification of different age groups, such as adult and child, based on handwriting is very important due to its various applications in many different fields. In forensics, handwriting classification helps investigators focus on a certain category of writers. This paper aimed to propose a mac...

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Bibliographic Details
Main Authors: Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akiko Suzuki, Akira Yasumura
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
handwritten text
handwritten pattern
adult and child classification
machine learning
sequential forward floating selection approach
Online Access:https://www.mdpi.com/2076-3417/12/10/5256

Internet

https://www.mdpi.com/2076-3417/12/10/5256

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