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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Jungpil Shin, Md. Maniruzzaman, Yuta Uchida, Md. Al Mehedi Hasan, Akiko Megumi, Akiko Suzuki, Akira Yasumura
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	MDPI AG 2022-05-01
Σειρά:	Applied Sciences
Θέματα:	handwritten text handwritten pattern adult and child classification machine learning sequential forward floating selection approach
Διαθέσιμο Online:	https://www.mdpi.com/2076-3417/12/10/5256
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