Image Based Character Recognition, Documentation System To Decode Inscription From Temple

Autor:	G, Velmathi, M, Shangavelan, D, Harish, S, Krithikshun M
Rok vydání:	2024
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	This project undertakes the training and analysis of optical character recognition OCR methods applied to 10th century ancient Tamil inscriptions discovered on the walls of the Brihadeeswarar Temple.The chosen OCR methods include Tesseract,a widely used OCR engine,using modern ICR techniques to pre process the raw data and a box editing software to finetune our model.The analysis with Tesseract aims to evaluate their effectiveness in accurately deciphering the nuances of the ancient Tamil characters.The performance of our model for the dataset are determined by their accuracy rate where the evaluated dataset divided into training set and testing set.By addressing the unique challenges posed by the script's historical context,this study seeks to contribute valuable insights to the broader field of OCR,facilitating improved preservation and interpretation of ancient inscriptions Comment: This research paper is a part of capstone project submitted to VIT Chennai, VIT University
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2405.17449 Zobrazit plný text záznamu View this record from Arxiv