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Static Pakistani Sign Language Classification using Support Vector Machine

In this study, a system is proposed that uses the Support Vector Machine (SVM) technique with Bag-of-Words (BoW) and recognizes static Pakistani Sign Language (PSL) alphabets. The application of the BoW technique with SVM, on a PSL images' dataset, has not been performed previously. Similarly, no p...

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Detalles Bibliográficos
Principais autores: Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif
Formato: Artigo
Idioma:Inglês
Publicado: Sir Syed University of Engineering and Technology, Karachi. 2022-12-01
Series:Sir Syed University Research Journal of Engineering and Technology
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Acceso en liña:http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/436
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