Performance of Binarization Algorithms on Tamizhi Inscription Images: An Analysis

Author:

Munivel Monisha1ORCID,Enigo V S Felix1ORCID

Affiliation:

1. Sri Sivasubramaniya Nadar College of Engineering, Kalavakkam, India

Abstract

Binarization of Tamizhi (Tamil-Brahmi) inscription images are highly challenging, as it is captured from very old stone inscriptions that exists around 3rd century BCE in India. The difficulty is due to the degradation of these inscriptions by environmental factors and human negligence over ages. Though many works have been carried out in the binarization of inscription images, very little research was performed for inscription images and no work has been reported for binarization of inscriptions inscribed on irregular medium. The findings of the analysis hold true to all writings that are carved in irregular background. This article reviews the performance of various binarization techniques on Tamizhi inscription images. Since no previous work was performed, we have applied the existing binarization algorithms on Tamizhi inscription images and analyzed the performance of these algorithms with proper reasoning. In the future, we believe that this reasoning on the results will help a new researcher to adapt or combine or devise new binarization techniques.

Publisher

Association for Computing Machinery (ACM)

Reference55 articles.

1. Arie Shaus, Barak Sober, Eli Turkel, and Eli Piasetzky. 2013. Improving binarization via sparse methods. In 16th International Graphonomics Society Conference. 163–166.

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3. Adaptive degraded document image binarization

4. M. Monisha and V. S. Felix Enigo. 2020. Complexities in developing Tamil-Brahmi script OCR: An analysis. In 19th Tamil Internet Conference. 88–101. Retrieved from: https://uttamam.org/infitt_papers.php

5. Ancient Indian Scripts Image Pre-Processing and Dimensionality Reduction for Feature Extraction and Classification: A Survey

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