What question did this study set out to answer?

The aim is to compare different thresholding methods and preprocessing techniques for analyzing Grantha Palm leaf manuscripts.

April 16, 20260 citations

View Full Paper

Grantha Palm Leaf Manuscript Image Processing and Study the Effectiveness of the Thresholding and Preprocessing with an GUI Application

MKMahadevan Ganesh KumarSri Chandrasekharendra Saraswathi Viswa Mahavidyalaya VRV. Ramesh

Key Points

The aim is to compare different thresholding methods and preprocessing techniques for analyzing Grantha Palm leaf manuscripts.
Developed a GUI tool named 'Manuscript Processing' using Python.
Applied various thresholding methods including Otsu’s, Adaptive Gaussian, Niblack, and Sauvola.
Incorporated preprocessing techniques like denoising, filtering, edge preservation, and CLAHE.
The GUI tool simplifies the image processing workflow.
Combined techniques improve the clarity and presentation of palm leaf manuscript images.

Abstract

Comparing the thresholding methods like Otsu’s, Adaptive Gaussian, Niblack and Sauvola on a Grantha Palm leaf manuscript with preprocessing technique manually and test them are time consuming. A GUI tool “Manuscript Processing “is developed using Python to make the image processing easier. It combines preprocessing techniques like denoising, filtering, edge preservation and CLAHE (Contrast Limited Adaptive Histogram Equalization) with required Thresholding method. This software takes a palm leaf manuscript image and processes it to display output.

KI fragen

Bookmark

View Full Paper

Cite This Study

Kumar et al. (Thu,) studied this question.

synapsesocial.com/papers/69e07dc72f7e8953b7cbec8e https://doi.org/https://doi.org/10.1051/itmconf/20268501006/pdf

KI fragen

Bookmark

View Full Paper