A vast dataset for Kurdish handwritten digits and isolated characters recognition
Authors
Peshraw Ahmed Abdalla , Abdalbasit Mohammed Qadir , Mohammed Y. Shakor , Ari M. Saeed , Abdalla Taha Jabar , Ali Abdalla Salam , Hedi Hamid Hama Amin
Peshraw Ahmed Abdalla , Abdalbasit Mohammed Qadir , Mohammed Y. Shakor , Ari M. Saeed , Abdalla Taha Jabar , Ali Abdalla Salam , Hedi Hamid Hama Amin
This dataset paper introduces K-PIT and K-ZHMARA for isolated Central Kurdish handwriting recognition. K-PIT contains 245,000 character images across 35 classes and K-ZHMARA contains 70,000 digit images across 10 classes, for 315,000 images in total. The publication presents the resources as datasets rather than as a complete word- or line-level OCR system.
A deposited Central Kurdish handwriting bundle containing K-PIT for isolated characters and K-ZHMARA for digits. K-PIT contains 245,000 images across 35 classes and K-ZHMARA contains 70,000 images …
Abdalla, P. A., Qadir, A. M., Shakor, M. Y., Saeed, A. M., Jabar, A. T., Salam, A. A., & Amin, H. H. H. (2023). A vast dataset for Kurdish handwritten digits and isolated characters recognition. Data in Brief, 47, 109014.