A Novel Geometrical Scale and Rotation Independent Feature Extraction Technique for Multi-lingual Character Recognition Article Swipe
Narasimha Reddy Soora
,
Ehsan Ur
,
Sharfuddin Waseem Mohammed
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.14569/ijacsa.2020.0111130
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.14569/ijacsa.2020.0111130
This paper presents a novel geometrical scale and rotation independent feature extraction (FE) technique for multi-lingual character recognition (CR). The performance of any CR techniques mainly depends on the robustness of the proposed FE methods. Currently, there are very few scale and rotation independent FE techniques present in the literature which successfully extract the robust features from characters with noise such as distortion and breaks in the characters. Many FE methods from the literature failed to distinguish the characters which look similar in their appearance. So, in this paper, we have proposed a novel scale and rotation independent geometrical shape FE technique which successfully recognized distorted, broken, and similarly looking characters. Aside from the proposed FE technique, we've used crossing count (CC) features. Finally, we have combined the proposed features with CC features to make as Feature Vector (FV) of the character to be recognized. The proposed CR technique is evaluated using publicly available media-lab license plate (LP), ISI_Bengali, and Chars74K benchmark data sets and achieved encouraging results. To further assess the performance of the proposed FE method, we've used a proprietary data set containing nearly 168000 multi-lingual characters from English, Devanagari, and Marathi scripts and achieved encouraging results. We have observed better classification rates for the proposed FE method using publicly available benchmark data sets as compared to few of the CR FE methods from the literature.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.14569/ijacsa.2020.0111130
- http://thesai.org/Downloads/Volume11No11/Paper_30-A_Novel_Geometrical_Scale_and_Rotation_Independent_Feature.pdf
- OA Status
- diamond
- Cited By
- 6
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3110905014
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3110905014Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.14569/ijacsa.2020.0111130Digital Object Identifier
- Title
-
A Novel Geometrical Scale and Rotation Independent Feature Extraction Technique for Multi-lingual Character RecognitionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Narasimha Reddy Soora, Ehsan Ur, Sharfuddin Waseem MohammedList of authors in order
- Landing page
-
https://doi.org/10.14569/ijacsa.2020.0111130Publisher landing page
- PDF URL
-
https://thesai.org/Downloads/Volume11No11/Paper_30-A_Novel_Geometrical_Scale_and_Rotation_Independent_Feature.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://thesai.org/Downloads/Volume11No11/Paper_30-A_Novel_Geometrical_Scale_and_Rotation_Independent_Feature.pdfDirect OA link when available
- Concepts
-
Devanagari, Computer science, Pattern recognition (psychology), Artificial intelligence, Robustness (evolution), Rotation (mathematics), Character (mathematics), Feature extraction, Character recognition, Mathematics, Image (mathematics), Biochemistry, Chemistry, Geometry, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2022: 2, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2782377436, https://openalex.org/W2028420691, https://openalex.org/W6677216293, https://openalex.org/W2145219790, https://openalex.org/W2067016264, https://openalex.org/W2969912840, https://openalex.org/W2021600666, https://openalex.org/W2608552317, https://openalex.org/W2796499284, https://openalex.org/W2561040985, https://openalex.org/W6769347141, https://openalex.org/W2165324650, https://openalex.org/W2463415222, https://openalex.org/W2534809444, https://openalex.org/W2737439078, https://openalex.org/W974261621, https://openalex.org/W2061768451, https://openalex.org/W3047015682, https://openalex.org/W2115044000, https://openalex.org/W2981142782 |
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