政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/32710
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文筆數/總筆數 : 113393/144380 (79%)
造訪人次 : 51239705      線上人數 : 884
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧：
  • 您可在西文檢索詞彙前後加上"雙引號"，以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋，建議至進階搜尋限定作者欄位，可獲得較完整資料
    •  進階搜尋
    政大機構典藏 > 資訊學院 > 資訊科學系 > 學位論文 >  Item 140.119/32710


    請使用永久網址來引用或連結此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/32710


    題名: 植基於質感圖樣之自動化人機區分機制
    A CAPTCHA Mechanism Based on Textured Patterns
    作者: 張繼志
    Chi-Chih Chang
    貢獻者: 廖文宏
    Wen-Hung Liao
    張繼志
    Chi-Chih Chang
    關鍵詞: 人機辨識
    質感圖樣
    CAPTCHA
    Turning Test
    Texture
    Visual Pattern
    日期: 2004
    上傳時間: 2009-09-17 14:06:36 (UTC+8)
    摘要: 隨著科技的進步與資訊科學的發展，大量的資訊處理自動化逐漸取代傳統人工技術，然而不恰當地使用自動化技術，卻可能危害人類的權益與空間。為避免過度濫用機器自動化對人類所造成的災害，本研究根據不同的適用情境，分別提出以靜態及動態圖型為基礎的人機區分方法，透過簡單的影像處理技術，產生機器難以分析但人類能夠易於判別的人機辨識影像。並且由認知的角度，設計實驗進一步探討人類視覺優勢以及接受度，作為影像產生時的標準。最後，提出人機區分技術與應用情境整合實作的方法，以觀實效。
    The idea of using a computer program to distinguish humans from machines, sometimes referred to as the “Reverse Turing Test”, has emerged only quite recently. The term CAPTCHA, which stands for “Completely Automated Public Turing Test to Tell Computers and Humans Apart", is defined as:
    “a program that can generate and grade tests that:
    □ Most human can pass
    but
    □ Current computer program can’t pass! “
    In this thesis, a texture-image based approach is developed to encode text information in such a way that machine vision algorithms will experience significant difficulties while human can extract the embedded text effortlessly. Both static images and dynamic sequences will be explored. It is anticipated that the cost of storing, and subsequently decoding information from such visual patterns will be prohibitedly high, both in terms of time and space complexity. To validate the postulation, fundamental principles of the human cognitive process will be examined. Experiments will also be carried out to gather user feedback and investigate the limitations of human visual systems. Finally, several application scenarios that call for the integration of a CAPTCHA will be identified and discussed.
    參考文獻: 【1】Berners-Lee, T., Hendler, J. and Lassila, O. (2001). The Semantic Web. Scientific American.
    【2】Turing, A. (1950). Computing machinery and intelligence, artificial intelligence.
    【3】Ahn, L von., Blum, M., Hopper, N. J., and Langford, J. (2003). CAPTCHA: Telling Humans and Computers Apart (Automatically). Advances in Cryptology, Eurocrypt `03, volume 2656 of Lecture Notes in Computer Science, 294–311.
    【4】Mori, G. and Malik, J. (2003). Recognizing objects in adversarial clutter: Breaking a visual CAPTCHA. In Proceedings of the Conference on Computer Vision and Pattern Recognition,. Vol. I, pp.134-141, Madison, USA.
    【5】Kochanski, G., Lopresti, D., and Shih, C. (2002). A Reverse Turing Test Using Speech. Seventh International Conference on Spoken Language Processing, 16-20.
    【6】Julesz, B. and Miller, J.E. (1962). Automatic stereoscopic presentation of functions of two variables. Bell System Technical Journal, 41: 663-676.
    【7】Goldstein, E. B. (1999). Sensation and Perception, Fifth Edition, Brooks/Cole Publishing Company.
    【8】Kanizsa, G.. (1955). Margini quasi-percettivi in campi con stimolazione omogenea. Rivista di psicologia, 49, 7-30.
    【9】Bradley, D. R., and Petry, H. M. (1977). Organizational determinants of subjective contour: The subjective Necker cube. American Journal of Psychology, 90, 253-262.
    【10】Williams, L. R. and Jacobs, D. W. (1997). Stochastic Completion Fields: A Neural odel of Illusory Contour Shape and Salience, Neural Computation, Vol. 9, No. 4, pp. 837-858.
    【11】Julesz, B. (1962). Visual pattern discrimination. IRE Trans Inf Theory, IT-8:84-92.
    【12】Julesz, B. (1975). Experiments on the visual perception of texture. Scientific American, 232, 34-43.
    【13】Julesz, B. Textons. (1981). the elements of texture perception and their interactions. Nature, London, 290, 91-97.
    【14】Regan, D. (1986). Luminance contrast: Vernier discrimination. Spatial Vision, 1, 305-318.
    【15】Newsome, W. T., Britten, K. H., and Movshon, J. A. (1989). Neuronal correlates of a perceptual decision. Nature, 341, 52-54.
    【16】Gonzalez, R. C. and Woods, R. E. (2001). Digital Image Processing Second Edition. Prentice-Hall, Inc.
    【17】Forsyth, D. A.,and Ponce, J. (2003). Computer Vision: A Modern Approach. Prentice-Hall, Inc.
    【18】Myers, A. and Hansen, C. (1997). Experimental Psychology. Brooks/Cole Publishing Company.
    【19】Duda, R. O., Hart, P. E., and Stork, D. G... (2001). Pattern Classification, Second Edition. John Wiley & Sons, Inc.
    【20】Liao, W. H., Chang, C.C. (2004). Embedding Information within Dynamic Visual Patterns. The 2004 IEEE International Conference On Multimedia And Expo.
    【21】王文中，(1999)，「統計學與Excel資料分析之實習應用」，博碩文化。
    【22】李江山、孫慶文、陳一平、陳建中、黃淑麗、黃榮村、葉素玲、襲充文、櫻井正二郎，(2002)，「視覺與認知–視覺知覺與視覺運動系統」，遠流。
    【23】洪蘭、曾志朗譯，(1997)，「心理學實驗研究法」，遠流。
    描述: 碩士
    國立政治大學
    資訊科學學系
    91753014
    93
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0917530141
    資料類型: thesis
    顯示於類別:[資訊科學系] 學位論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    53014101.pdf39KbAdobe PDF2816檢視/開啟
    53014102.pdf87KbAdobe PDF2842檢視/開啟
    53014103.pdf42KbAdobe PDF2836檢視/開啟
    53014104.pdf125KbAdobe PDF2820檢視/開啟
    53014105.pdf1117KbAdobe PDF21204檢視/開啟
    53014106.pdf1184KbAdobe PDF21205檢視/開啟
    53014107.pdf189KbAdobe PDF2982檢視/開啟
    53014108.pdf475KbAdobe PDF21712檢視/開啟
    53014109.pdf1130KbAdobe PDF2811檢視/開啟
    53014110.pdf43KbAdobe PDF2695檢視/開啟
    53014111.pdf47KbAdobe PDF2869檢視/開啟
    53014112.pdf51KbAdobe PDF2756檢視/開啟


    在政大典藏中所有的資料項目都受到原著作權保護.


    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 ©   - 回饋