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  1. 研究論文

A Character-Based Postprocessing System for Handwritten Japanese Address Recognition

https://nitech.repo.nii.ac.jp/records/4678
https://nitech.repo.nii.ac.jp/records/4678
8fedddc4-6554-4602-a125-3ee8d98351ff
名前 / ファイル ライセンス アクション
E82-D_468.pdf 本文_fulltext (240.9 kB)
Copyright(c)1999 IEICE http://search.ieice.org/index.html
Item type 学術雑誌論文 / Journal Article(1)
公開日 2012-11-07
タイトル
タイトル A Character-Based Postprocessing System for Handwritten Japanese Address Recognition
言語 en
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 Yamanaka, Keiji

× Yamanaka, Keiji

en Yamanaka, Keiji

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Kuroyanagi, Susumu

× Kuroyanagi, Susumu

en Kuroyanagi, Susumu

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Iwata, Akira

× Iwata, Akira

en Iwata, Akira

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著者別名
姓名 黒柳, 奨
著者別名
姓名 岩田, 彰
bibliographic_information en : IEICE transactions on information and systems

巻 E82-D, 号 2, p. 468-474, 発行日 1999-02-20
出版者
出版者 Institute of Electronics, Information and Communication Engineers
言語 en
ISSN
収録物識別子タイプ ISSN
収録物識別子 0916-8532
item_10001_source_id_32
収録物識別子タイプ NCID
収録物識別子 AA10826272
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
内容記述
内容記述タイプ Other
内容記述 Based on a previous work on handwritten Japanese kanji character recognition, a postprocessing system for handwritten Japanese address recognition is proposed. Basically, the recognition system is composed of CombNET-II, a general-purpose large-scale character recognizer and MMVA, a modified majority voting system. Beginning with a set of character candidates, produced by a character recognizer for each character that composes the input word and a lexicon, an interpretation to the input word is generated. MMVA is used in the postprocessing stage to select the interpretation that accumulates the highest score. In the case of more than one possible interpretation, the Conflict Analyzing System calls the character recognizer again to generate scores for each character that composes each interpretation to determine the final output word. The proposed word recognition system was tested with 2 sets of handwritten Japanese city names, and recognition rates higher than 99% were achieved, demonstrating the effectiveness of the method.
言語 en
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