Analyzing the Constraints in Automated Character Recognition from Ancient Modi Manuscripts

Ancient documents still contain a lot of information which helps to resolve today’s problem, but due to lack of right preserving methods such documents are at the edge of degradation. In Maharashtra, Modi is an ancient scripting language used for documentation since the 17th century and the style of scripting changes with time. Modi-script also a part of cursive style, written on a paper without lifting pen. The primary objective of this study is to examine the various approaches utilized in HOCR, with a particular focus on the Modi scripts.

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Published
2024-08-23
DOI
https://doi.org/10.1109/iccubea61740.2024.10775029
Citations
1
Primary Topic
Handwritten Text Recognition Techniques
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article
Field-Weighted Citation Impact
0.25
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article

Analyzing the Constraints in Automated Character Recognition from Ancient Modi Manuscripts

Ketki R. Ingole, Pritish A. Tijare
1 citations
Handwritten Text Recognition Techniques
0.25
article

Analyzing the Constraints in Automated Character Recognition from Ancient Modi Manuscripts

Ketki R. Ingole, Pritish A. Tijare
article en
1 citations

Abstract

Ancient documents still contain a lot of information which helps to resolve today’s problem, but due to lack of right preserving methods such documents are at the edge of degradation. In Maharashtra, Modi is an ancient scripting language used for documentation since the 17th century and the style of scripting changes with time. Modi-script also a part of cursive style, written on a paper without lifting pen. The primary objective of this study is to examine the various approaches utilized in HOCR, with a particular focus on the Modi scripts.

Sant Gadge Baba Amravati University (IN)
Openalex Percentile: Top 42%
Handwritten Text Recognition Techniques
0.25
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