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Titlebook: Document Analysis Systems V; 5th International Wo Daniel Lopresti,Jianying Hu,Ramanujan Kashi Conference proceedings 2002 Springer-Verlag G

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發(fā)表于 2025-3-21 16:49:23 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Document Analysis Systems V
副標(biāo)題5th International Wo
編輯Daniel Lopresti,Jianying Hu,Ramanujan Kashi
視頻videohttp://file.papertrans.cn/283/282300/282300.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Document Analysis Systems V; 5th International Wo Daniel Lopresti,Jianying Hu,Ramanujan Kashi Conference proceedings 2002 Springer-Verlag G
出版日期Conference proceedings 2002
關(guān)鍵詞DjVu; Document Analysis; Document Analysis Systems; Extensible Markup Language (XML); Handwriting Recogn
版次1
doihttps://doi.org/10.1007/3-540-45869-7
isbn_softcover978-3-540-44068-0
isbn_ebook978-3-540-45869-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2002
The information of publication is updating

書(shū)目名稱(chēng)Document Analysis Systems V影響因子(影響力)




書(shū)目名稱(chēng)Document Analysis Systems V影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Document Analysis Systems V網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Document Analysis Systems V被引頻次




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Script Identification in Printed Bilingual Documentscter recognition. Techniques for script identification generally require large areas for operation so that sufficient information is available. Suchassumption is nullified in Indian context, as there is an interspersion of words of two different scripts in most documents. In this paper, techniques t
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Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Imagesayout. This means searching and employing contextual information as a pointer to a search region on the image. However human handwriting, as well as machine printed characters, are not dependent on the document in which they are inserted. Components of handwritten and machine printed behavior can be
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Multi-expert Seal Imprint Verification System for Bankcheck Processingy of seal imprint quality. To conquer this problem, we propose a multi-expert seal imprint verification system, which combines two different verification algorithms. The first verification algorithm is based on a method using local and global features of seal imprint. The second one uses a special c
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Automatic Reading of Traffic Ticketstabase of registered cars for further processing. Each extracted information consists either of handwritten isolated Arabic digits or tick mark “x”. The ticket form is designed in such a way to facilitate the extraction process. For each input, the output of the recognition module is a probabilistic
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