Summary of Enhancement Of Bengali Ocr by Specialized Models and Advanced Techniques For Diverse Document Types, By Akm Shahariar Azad Rabby et al.
Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types
by AKM Shahariar Azad Rabby, Hasmot Ali, Md. Majedul Islam, Sheikh Abujar, Fuad Rahman
First submitted to arxiv on: 7 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a Bengali Optical Character Recognition (OCR) system that excels at reconstructing document layouts while preserving structure, alignment, and images. The system uses advanced image and signature detection for accurate extraction, as well as specialized models for word segmentation to cater to diverse document types. It also handles static and dynamic handwritten inputs, recognizing various writing styles, including compound characters in Bengali. To optimize character and word recognition, the paper collects extensive data and incorporates technical components. Additionally, it provides image, logo, signature, table recognition, perspective correction, layout reconstruction, and a queuing module for efficient processing. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating a special computer system that can read and understand Bengali documents. The system is very good at keeping the document’s structure and arrangement intact, even when it has pictures or handwritten text. It also uses advanced technology to detect signatures and extract words correctly. The system works well with different types of documents, including those written by hand in various styles. This is important because it helps computers understand Bengali texts more accurately. |
Keywords
* Artificial intelligence * Alignment
