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Titlebook: Optical Character Recognition Systems for Different Languages with Soft Computing; Arindam Chaudhuri,Krupa Mandaviya,Soumya K Ghosh Book 2

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發(fā)表于 2025-3-21 18:25:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Optical Character Recognition Systems for Different Languages with Soft Computing
編輯Arindam Chaudhuri,Krupa Mandaviya,Soumya K Ghosh
視頻videohttp://file.papertrans.cn/703/702516/702516.mp4
概述Describes novel soft-computing methods developed by the authors.Highlights the advantages of soft computing models for optical character recognition (OCR) systems in comparison to traditional methods.
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Optical Character Recognition Systems for Different Languages with Soft Computing;  Arindam Chaudhuri,Krupa Mandaviya,Soumya K Ghosh Book 2
描述The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.
出版日期Book 2017
關(guān)鍵詞OCR Technology; Recognition Accuracy; Digitizing Texts; Machine-encoded Texts; Soft Computing Models for
版次1
doihttps://doi.org/10.1007/978-3-319-50252-6
isbn_softcover978-3-319-84357-5
isbn_ebook978-3-319-50252-6Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:32:02 | 只看該作者
Book 2017 rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here,
板凳
發(fā)表于 2025-3-22 03:39:02 | 只看該作者
Optical Character Recognition Systems,cation segmentation, pre-processing, segmentation, representation, feature extraction, training and recognition and post-processing. The different applications of OCR systems are highlighted next followed by the current status of the OCR systems. Finally, the future of the OCR systems is presented.
地板
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發(fā)表于 2025-3-22 13:05:27 | 只看該作者
Optical Character Recognition Systems for French Language,eptron (RFMLP), fuzzy support vector machine (FSVM), fuzzy rough support vector machine (FRSVM) and hierarchical fuzzy bidirectional recurrent neural networks (HFBRNN). The superiority of soft computing techniques is demonstrated through the experimental results.
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發(fā)表于 2025-3-23 02:16:21 | 只看該作者
Optical Character Recognition Systems for Hindi Language, classification is performed through important soft computing techniques viz rough fuzzy multilayer perceptron (RFMLP), fuzzy support vector machine (FSVM), fuzzy rough support vector machine (FRSVM) and fuzzy markov random fields (FMRF). The superiority of soft computing techniques is demonstrated through the experimental results.
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發(fā)表于 2025-3-23 06:21:21 | 只看該作者
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