Open Vocabulary Word Recognition From Transcribed Bangla Texts
An optical character recognition (OCR) can scan a paper and extract text using technology, making people's jobs easier. While various OCR systems are available in the software industry, finding a reliable equivalent solution for Bangla takes much work. When it comes to handwritten texts, the situation is much more unusual. Recognizing words from word images is the most critical stage in any OCR process. It is the second stage after segmenting words from text pictures. If this stage fails, the overall performance of the OCR will be poor, regardless of how well the other phases perform. This study aims to recognize words using deep learning in a handwritten Bangla word image. Three object d...
| Authors | Faias Satter, Sk. Md. Masudul Ahsan |
|---|---|
| Primary category | cs.CV |
| Published | 1 October 2026 |
| Last updated at source | 2 October 2026 |
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