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研究生： 顏鏞年
論文名稱： 應用影像辨識技術於NFC手機之研究
指導教授： 葉耀明
學位類別： 碩士
Master
系所名稱： 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年： 2012
畢業學年度： 100
語文別： 中文
論文頁數： 57
中文關鍵詞： Android 、NFC 、行動付款 、身份驗證 、Zernike moments
英文關鍵詞： Android, NFC, Mobile payment, Signature authentication, Zernike moments
論文種類： 學術論文
相關次數： 點閱：174  下載：17 
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    • 隨著科技日益進步，智慧型手機功能越來越多樣化且應用範圍也越來越廣泛，而行動商務也隨之興起。把手機當作電子錢包、信用卡甚至透過智慧型手機來購物，已經是時代的趨勢。而如何有效且有鑑別性的進行身份驗證，是本研究致力解決的問題。
    本研究以Android平台為基礎，利用NFC技術開發一套行動付款機制，並提出一個新穎的方法：以簽名的方式做身份的辨認，並利用影像處理技術辨識簽名來驗證使用者之身份，用改進以往手機做身份認證時，只能利用輸入PIN碼來做身份確認的不足。本研究使用Zernike moments技術來辨識簽名，此技術擁有抗旋轉不變性、抗位移不變性、抗大小不變性及能夠擷取出高鑑別度的特徵等特性，所以經實驗證明，Zernike moments技術確能運用在手寫簽章上的認證。

    With the advance of information technology, the functions of smart phone are more diversified and its applications also are increased. The trend of using mobile phone as an electronic wallet, credit card, and even the shopping tools has arrived owing to the development of NFC (Near Field Communication). One of the most important modules of above applications is to verify the user’s authentication effectively and discriminatively.
    Current mobile payment mechanism only uses the PIN number to identify the user’s authentication. It is not friendly for that user need to remember lots of codes to keep the security of private profile. To solve this defect, we propose a novel approach to identify the user’s signature authentication. In this article, we develop a NFC mobile payment system which is based on Android operating system, and recognize the user’s signature with the Zernike moments technique. Owing to the merits of the Zernike moments technique, it can recognize the user’s signature with rotation invariance, transition invariance, and scaling invariance. Furthermore, it also can extract the high- discriminative features. From the result of our experiment, we find that the Zernike moments technical works well in the handwriting signature identification procedure.

    第一章 緒論................................................1 1.1 研究背景...............................................1 1.2 研究目的...............................................4 第二章 文獻探討............................................5 2.1 ANDROID作業系統 ...................................5 2.1.1 Android系統架構......................................5 2.1.2 應用程式層...........................................6 2.1.3 中介軟體層...........................................7 2.1.4 硬體抽像層...........................................9 2.2 無線通訊網路...........................................9 2.3 影像辨識..............................................11 第三章 系統規畫...........................................14 3.1 系統架構..............................................14 3.2 NFC技術介紹與應用.....................................17 3.2.1 NFC介紹.............................................17 3.2.2 NFC用戶端設計.......................................20 3.3 主機端簽名辨識........................................27 3.3.1 簽名辨識流程圖......................................27 3.3.2 簽名辨識前處理......................................28 3.3.3 Zernike moments公式和演算法.........................30 3.3.3.1 Zernike moments特徵的抽取.........................33 3.3.3.2 Zernike moments性質討論...........................33 3.3.3.3 Zernike moments相似度比對.........................36 3.4 TSM平台介紹...........................................37 第四章 實驗結果與分析.....................................40 4.1 NFC系統與其它行動付款系統的相關分析...................40 4.2 開發環境..............................................42 4.3 網路傳輸..............................................43 4.4 身份驗證..............................................44 第五章 結論與未來展望.....................................53 5.1 結論..................................................53 5.2 未來展望..............................................54 第六章 參考文獻...........................................55

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