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A Study on the Comparison of Various Preprocessing Methods for Bengali Character Recognition Using Convolutional Neural Network
http://hdl.handle.net/10458/0002002245
http://hdl.handle.net/10458/00020022454f86081b-6d87-4eb8-b173-d0e549c58ff6
| 名前 / ファイル | ライセンス | アクション |
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AuthorManuscript (373 KB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2026-02-02 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | A Study on the Comparison of Various Preprocessing Methods for Bengali Character Recognition Using Convolutional Neural Network | |||||||||||||
| 言語 | en | |||||||||||||
| 言語 | ||||||||||||||
| 言語 | eng | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| キーワード | Bengali Character recognition | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| キーワード | Convolutional Neural Network (CNN) | |||||||||||||
| キーワード | ||||||||||||||
| 言語 | en | |||||||||||||
| キーワード | Handwritten character recognition | |||||||||||||
| 資源タイプ | ||||||||||||||
| 資源タイプ | journal article | |||||||||||||
| アクセス権 | ||||||||||||||
| アクセス権 | open access | |||||||||||||
| 著者 |
Jamil, Md Shafayet
× Jamil, Md Shafayet
× 田村, 宏樹
WEKO
7150
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| 抄録 | ||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||
| 内容記述 | Classification of handwritten characters is a technique of optical character recognition, that helps us to recognize and process non-digital text found in our everyday surroundings especially in academic institutions. This paper; with a view to solving handwritten character recognition; presents a method to classify ‘Bengali’ characters. Bengali has been chosen for two main reasons, firstly, population-wise it is 6th most used languages in the world [1], secondly, there’s scarcity of reliable services where Bengali can be used effortlessly [2]. Successful recognition of these characters can lead us to achieve fast digitalization of text data and can widen the usage of optical character recognition-based services among a huge number of people. It can also later assist in language interchanging scenarios, like automated translation. The core of the research is to develop convolutional neural network-based classification model and to compare with the current available methods of Bengali character recognition. The experiments and evaluations are done on ‘Banglalekha Isolated dataset’. This dataset contains preprocessed binary images of the characters. We tried to find an additional preprocessing pipeline; comprised of histogram of oriented gradients, morphological transform, ROI (region of interest) extraction. It has yielded satisfactory accuracy in classifying 84 classes of characters on ‘Banglalekha Isolated dataset’. | |||||||||||||
| 言語 | en | |||||||||||||
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| 内容記述タイプ | Other | |||||||||||||
| 内容記述 | Included in the following conference series: International Conference on Genetic and Evolutionary Computing (ICGEC 2024) |
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| 言語 | en | |||||||||||||
| 書誌情報 |
en : Lecture Notes in Electrical Engineering 巻 1321, p. 254-262, 発行日 2025-02-08 |
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| 出版者 | ||||||||||||||
| 出版者 | Springer Nature Singapore | |||||||||||||
| 言語 | en | |||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||
| 収録物識別子 | 18761119 | |||||||||||||
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| 収録物識別子タイプ | ISSN | |||||||||||||
| 収録物識別子 | 18761100 | |||||||||||||
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| 関連タイプ | isPartOf | |||||||||||||
| 識別子タイプ | ISBN | |||||||||||||
| 関連識別子 | 9789819615315 | |||||||||||||
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| 関連タイプ | isVersionOf | |||||||||||||
| 識別子タイプ | DOI | |||||||||||||
| 関連識別子 | https://doi.org/10.1007/978-981-96-1531-5_25 | |||||||||||||
| 権利 | ||||||||||||||
| 権利情報 | © 2025 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | |||||||||||||
| 言語 | en | |||||||||||||
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| 出版タイプ | AM | |||||||||||||
