OHSCR: Benchmarks Dataset for Offline Handwritten Sindhi Character Recognition

This research work presents a unique dataset for offline handwritten Sindhi character recognition. It has 7800 character images in total, divided into multiple categories by 150 writers of various ages, genders, and professional backgrounds. Each writer writes the 52 Sindhi characters in the design...

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Główni autorzy:	Jakhro Abdul Naveed, Mudasar Ahmed Soomro, Leezna Saleem, Muhammad Khalid Shaikh
Format:	Artigo
Język:	Inglês
Wydane:	Sir Syed University of Engineering and Technology, Karachi. 2024-05-01
Seria:	Sir Syed University Research Journal of Engineering and Technology
Hasła przedmiotowe:	Benchmark Dataset Handwritten Character Recognition Pattern Recognition Machine Learning Sindhi Language
Dostęp online:	http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/618
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