Summary of Image Based Character Recognition, Documentation System to Decode Inscription From Temple, by Velmathi G et al.
Image Based Character Recognition, Documentation System To Decode Inscription From Temple
by Velmathi G, Shangavelan M, Harish D, Krithikshun M S
First submitted to arxiv on: 21 May 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 The paper explores the application of Optical Character Recognition (OCR) methods, specifically Tesseract, to decipher 10th century ancient Tamil inscriptions on the walls of the Brihadeeswarar Temple. The project employs modern ICR techniques and box editing software to preprocess raw data and fine-tune a model for analyzing the inscriptions. The study evaluates the effectiveness of Tesseract in accurately interpreting the nuances of ancient Tamil characters, measuring performance by accuracy rate on a divided dataset (training set and testing set). By addressing the unique challenges posed by the script’s historical context, this research aims to contribute valuable insights to the broader field of OCR, ultimately facilitating improved preservation and interpretation of ancient inscriptions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study is about using special computer software to read really old writing from a temple in India. The writing is from over 1,000 years ago and is very difficult to understand because it’s in an ancient language called Tamil. The researchers used some clever techniques and tools to help the computer read the writing more accurately. They tested how well the computer did by comparing its answers with what they already knew about the writing. By doing this study, the researchers hope to make it easier for people to understand and preserve old writings like these in the future. |
