Characterization of English Braille Patterns Using Automated Tools and RICA Based Feature Extraction Methods.

Shokat, Sana; Riaz, Rabia; Rizvi, Sanam Shahla; Khan, Inayat; Paul, Anand

Shokat, Sana; Riaz, Rabia; Rizvi, Sanam Shahla; Khan, Inayat; Paul, Anand.

Afiliação

Shokat S; Department of Computer Science and IT, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan.
Riaz R; Department of Computer Science and IT, University of Azad Jammu and Kashmir, Muzaffarabad 13100, Pakistan.
Rizvi SS; Raptor Interactive (Pty) Ltd., Eco Boulevard, Witch Hazel Ave, Centurion 0157, South Africa.
Khan I; Department of Computer Science, University of Buner, Buner 19290, Pakistan.
Paul A; The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea.

Sensors (Basel) ; 22(5)2022 Feb 25.

Article em En | MEDLINE | ID: mdl-35270980

Assuntos

Aprendizado de Máquina; Máquina de Vetores de Suporte; Algoritmos; Humanos; Valor Preditivo dos Testes; Leitura

Palavras-chave

Braille patterns; Decision Tree; KNN; PCA features; RICA features; SVM; machine learning; text conversion; visually impaired

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Máquina de Vetores de Suporte / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Paquistão

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