11/08/2025
Congratulations to Abdulla Nasir Chowdhury, Aftar Ahmad Sami, Shah Masud Parvej Mamun, Shakib Absar, Fuad Rahman, and Md. Saidur Rahman Kohinoor!
The EARL Research Network proudly acknowledges their collaborative research work titled,
"Performance Analysis of Tesseract and EasyOCR for Bangla Optical Character Recognition on the Novel Bangla CrossHair Dataset,"
published under the IEEE at the 2025 3rd International Conference.
This study presents a comprehensive comparative analysis of OCR engines PyTesseract and EasyOCR, benchmarked on the newly created Bangla-CrossHair dataset, which encompasses diverse types of Bangla text images. The research highlights EasyOCR’s superior performance in several scenarios, while PyTesseract demonstrates faster processing capabilities.