Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters
This research paper presents a comprehensive analysis, classification, and segmentation of Gujarati conjuncts, with the aim of providing a deeper understanding of the intricate conjuncts in the Gujarati script. The study investigates the coverage area and joining patterns of conjuncts to categorize...
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Format: | Article |
Language: | English |
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Elsevier
2023-09-01
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Series: | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772671123001675 |
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author | Megha N. Parikh Apurva A. Desai |
author_facet | Megha N. Parikh Apurva A. Desai |
author_sort | Megha N. Parikh |
collection | DOAJ |
description | This research paper presents a comprehensive analysis, classification, and segmentation of Gujarati conjuncts, with the aim of providing a deeper understanding of the intricate conjuncts in the Gujarati script. The study investigates the coverage area and joining patterns of conjuncts to categorize them based on their distinct structural properties. The coverage area refers to the spatial extent of a conjunct and is classified into three categories: full box, upper half box, and lower half box characters. The joining patterns offer insights into how consonants are connected or merged within a conjunct, including possibilities such as horizontal lines, curves. Accurate segmentation of conjuncts is crucial for retrieving their constituent components. This paper also discusses a segmentation algorithm that considers information from neighboring pixels, as well as the joining patterns and coverage area of conjuncts. The research study incorporates 728 frequently used handwritten conjuncts of the Gujarati script. Experimental analysis is conducted on a substantial dataset of 45,000 conjuncts. The experimental results demonstrate that conjuncts falling into the lower half box category or those connected with a horizontal line or a curve exhibit the highest success rate of over 85%. Furthermore, statistical analysis reveals that the success rate remains consistent and comparable across the various character groups, providing further support for the findings. |
first_indexed | 2024-03-11T22:05:58Z |
format | Article |
id | doaj.art-79eca1051b364f75b251c4f94d5b2e48 |
institution | Directory Open Access Journal |
issn | 2772-6711 |
language | English |
last_indexed | 2024-03-11T22:05:58Z |
publishDate | 2023-09-01 |
publisher | Elsevier |
record_format | Article |
series | e-Prime: Advances in Electrical Engineering, Electronics and Energy |
spelling | doaj.art-79eca1051b364f75b251c4f94d5b2e482023-09-25T04:13:00ZengElseviere-Prime: Advances in Electrical Engineering, Electronics and Energy2772-67112023-09-015100272Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent charactersMegha N. Parikh0Apurva A. Desai1Corresponding author.; Department of Computer Science, Veer Narmad South Gujarat University, Surat, IndiaDepartment of Computer Science, Veer Narmad South Gujarat University, Surat, IndiaThis research paper presents a comprehensive analysis, classification, and segmentation of Gujarati conjuncts, with the aim of providing a deeper understanding of the intricate conjuncts in the Gujarati script. The study investigates the coverage area and joining patterns of conjuncts to categorize them based on their distinct structural properties. The coverage area refers to the spatial extent of a conjunct and is classified into three categories: full box, upper half box, and lower half box characters. The joining patterns offer insights into how consonants are connected or merged within a conjunct, including possibilities such as horizontal lines, curves. Accurate segmentation of conjuncts is crucial for retrieving their constituent components. This paper also discusses a segmentation algorithm that considers information from neighboring pixels, as well as the joining patterns and coverage area of conjuncts. The research study incorporates 728 frequently used handwritten conjuncts of the Gujarati script. Experimental analysis is conducted on a substantial dataset of 45,000 conjuncts. The experimental results demonstrate that conjuncts falling into the lower half box category or those connected with a horizontal line or a curve exhibit the highest success rate of over 85%. Furthermore, statistical analysis reveals that the success rate remains consistent and comparable across the various character groups, providing further support for the findings.http://www.sciencedirect.com/science/article/pii/S2772671123001675Gujarati conjunctsGujarati consonant clustersSegmentation of touching charactersClassification of Gujarati conjunctsJoining patterns of clustersCompound characters |
spellingShingle | Megha N. Parikh Apurva A. Desai Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters e-Prime: Advances in Electrical Engineering, Electronics and Energy Gujarati conjuncts Gujarati consonant clusters Segmentation of touching characters Classification of Gujarati conjuncts Joining patterns of clusters Compound characters |
title | Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters |
title_full | Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters |
title_fullStr | Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters |
title_full_unstemmed | Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters |
title_short | Comparative analysis, classification, and segmentation of the handwritten Gujarati conjuncts depending on the structural properties of the constituent characters |
title_sort | comparative analysis classification and segmentation of the handwritten gujarati conjuncts depending on the structural properties of the constituent characters |
topic | Gujarati conjuncts Gujarati consonant clusters Segmentation of touching characters Classification of Gujarati conjuncts Joining patterns of clusters Compound characters |
url | http://www.sciencedirect.com/science/article/pii/S2772671123001675 |
work_keys_str_mv | AT meghanparikh comparativeanalysisclassificationandsegmentationofthehandwrittengujaraticonjunctsdependingonthestructuralpropertiesoftheconstituentcharacters AT apurvaadesai comparativeanalysisclassificationandsegmentationofthehandwrittengujaraticonjunctsdependingonthestructuralpropertiesoftheconstituentcharacters |