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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Bibliografische gegevens

Hoofdauteurs:	Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akiko Suzuki, Akira Yasumura
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2022-05-01
Reeks:	Applied Sciences
Onderwerpen:	handwritten text handwritten pattern adult and child classification machine learning sequential forward floating selection approach
Online toegang:	https://www.mdpi.com/2076-3417/12/10/5256
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