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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主要な著者:	Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akiko Suzuki, Akira Yasumura
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-05-01
シリーズ:	Applied Sciences
主題:	handwritten text handwritten pattern adult and child classification machine learning sequential forward floating selection approach
オンライン･アクセス:	https://www.mdpi.com/2076-3417/12/10/5256
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