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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Sir Syed University of Engineering and Technology, Karachi.
2024-05-01
|
| Rangatū: | Sir Syed University Research Journal of Engineering and Technology |
| Ngā marau: | |
| Urunga tuihono: | http://www.sirsyeduniversity.edu.pk/ssurj/rj/index.php/ssurj/article/view/618 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|