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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Hlavní autoři:	Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Sir Syed University of Engineering and Technology, Karachi. 2022-12-01
Edice:	Sir Syed University Research Journal of Engineering and Technology
Témata:	Pattern Recognition Pakistani Sign Language Machine Learning Image Processing
On-line přístup:	http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/436
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