English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113822/144841 (79%)
Visitors : 51830337      Online Users : 323
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/75993
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75993


    Title: HuayuNavi: A mobile chinese learning application based on intelligent character recognition
    Authors: Kuo, Jen Ho;Huang, Cheng-Ming;Liao, Wen-Hung;Huang, C.-C.
    郭仁和;黃政明;廖文宏
    Contributors: 資科系;數位內容碩士學位學程
    Keywords: Chinese language;Domain specific;Feature vectors;Intelligent character recognition;Language learning;Learning assistant;Mobile applications;Probability estimation;Real-time images;Recognition rates;Traditional learning;User experience;E-learning;Image retrieval;Laptop computers;Support vector machines;User interfaces;Character recognition
    Date: 2011
    Issue Date: 2015-06-22 14:02:53 (UTC+8)
    Abstract: With the recent rise of China, Chinese is becoming a dominant language in the world. People are pursuing an efficient and effective means to learn the Chinese language. Most of the traditional learning platforms such as textbooks, laptop applications and language learning centers are not portable and interactive simultaneously. In this paper, we attempt to develop a new language-learning platform that not only creates a better user experience but also promotes better efficiency in language training. We present a mobile application named HuayuNavi that integrates a touch-based user interface with intelligent character recognition techniques to achieve real-time image content understanding. Specifically, the feature vector is formed by accumulating localized gradients of different orientations in the image. Recognition is achieved by employing support vector machine (SVM) with probability estimation to obtain candidate characters, which is then refined using domain-specific vocabulary models. The overall operation can be completed in 3 seconds. Initial tests on the specific subject of Taiwanese snacks indicate that the recognition rate can reach 83% using handwritten samples as well as signboards containing characters of diverse fonts. © 2011 Springer-Verlag.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume 6872 LNCS, 2011, Pages 346-354, 6th International Conference on E-Learning and Games, Edutainment 2011; Taipei; Taiwan; 7 September 2011 到 9 September 2011; 代碼 86510
    Data Type: conference
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-23456-9_63
    DOI: 10.1007/978-3-642-23456-9_63
    Appears in Collections:[資訊科學系] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML21118View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback