簡易檢索 / 詳目顯示

研究生: 黃文鳳
Huang, Wen-Feng
論文名稱: QR Code之資訊隱藏—應用不同網點面積之混合網點
Different Dot Area of Hybrid AM/FM in QR Codes for Information Hiding
指導教授: 王希俊
Wang, Hsi-Chun
口試委員: 王希俊
Wang, Hsi-Chun
羅梅君
Lo, Mei-Chun
張晏榕
Chang, Yen-Jung
口試日期: 2024/07/09
學位類別: 碩士
Master
系所名稱: 圖文傳播學系
Department of Graphic Arts and Communications
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 75
中文關鍵詞: 混合網點資訊隱藏二維條碼
英文關鍵詞: Hybrid Halftone Dots, Information Hiding, Quick Response Code
研究方法: 實驗設計法
DOI URL: http://doi.org/10.6345/NTNU202401280
論文種類: 學術論文
相關次數: 點閱:92下載:19
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • QR Code (Quick Response Code)是一種由黑色和白色模組所組成的矩陣式二維條碼。隨著二維碼技術的廣泛應用,QR Code 常被用於產品推廣、產品追蹤及溯源、產品真僞鑒別、入場票券等的儲存媒介。然而,現有印刷品上的QR Code,不僅占據印刷品上一定的空間,還容易被盜印。因此本研究將調幅網點 (Amplitude Modulation,AM) 與調頻網點 (Frequency Modulation,FM) 導入QR Code,使AM網點與FM網點在QR Code上的網點面積百分比均衡,產生不同網點面積百分比的混合網點QR Code,此QR Code在印刷品上,人的眼睛是察覺不出來,但手機可掃碼識別,達到資訊隱藏的目的。本研究採用實驗研究法,其中QR Code中的黑色模組用AM網點來表示,白色模組用FM網點來表示。通過調整次模組内AM網點的形狀來改變網點面積百分比,以此表示QR Code中的黑色次模組,FM網點則將次模組中間挖空,形成白點來表示QR Code中的白色次模組,且次模組内FM網點面積百分比通過調配後和AM網點均衡,以此產生不同網點面積百分比的混合網點 QR Code,來測試QR Code 輸出後資訊隱藏的成效。此外還嘗試將QR Code的定位標記點(Finder Patterns)和無定位標記點的混合網點QR Code另外輸出來測試資訊隱藏成效。研究結果顯示,所設計的混合網點QR Code達到資訊隱藏之創新成效,並確定了可被掃碼識別的最低網點面積百分比。針對3x3無定位標記點的混合網點QR Code,輸出後曡加在寫有文字的紙張上進行的抗干擾性分析。分析表明有部分QR Code的干擾程度超出QR Code的容錯範圍,因此在程式中對九個QR Code進行投票分析,經投票分析後,碼字錯誤大大降低,QR Code還是能被掃碼識別,藉由QR Code定位標記點的隱藏,能將QR Code與文件做更好的整合。

    QR Code (Quick Response Code) is a matrix-type two-dimensional barcode composed of black and white modules. With the widespread application of two-dimensional barcode technology, QR Code is often used as a storage medium for product promotion, product tracking and traceability, product authentication, and event ticketing. However, the existing QR Codes on printed materials not only occupy a certain amount of space but are also prone to counterfeiting. Therefore, this study introduces Amplitude Modulation (AM) and Frequency Modulation (FM) halftoning into QR Codes, balancing the dot area percentage of AM and FM dots on the QR Code to create a hybrid AM/FM-dot QR Code with different dot area percentages. This QR Code is imperceptible to the human eye when printed on materials but can be scanned and recognized by mobile phones, achieving the purpose of information hiding.This study adopts an experimental research method, where the black modules in the QR Code are represented by AM dots and the white modules by FM dots. Specifically, the dot area percentage is altered by adjusting the shape of the AM dots within the sub-modules to represent the black sub-modules in the QR Code, while the FM dots create white points by hollowing out the center of the sub-modules to represent the white sub-modules. The dot area percentages of FM dots within the sub-modules are balanced with AM dots after adjustment to generate a mixed-dot QR Code with different dot area percentages to test the effectiveness of information hiding in the QR Code output. Additionally, the study attempts to test the information hiding effectiveness by outputting mixed-dot QR Codes without finder patterns.The research results indicate that the designed hybrid AM/FM-dot QR Code achieves innovative information hiding effectiveness and determines the minimum dot area percentage that can be recognized by scanning. For the 3x3 hybrid AM/FM-dot QR Code without finder patterns, interference resistance analysis was conducted by overlaying it on text-printed paper. The analysis shows that the interference level of some QR Codes exceeds the error correction range of the QR Code. Therefore, a voting analysis was performed on nine QR Codes within the program. After the voting analysis, the codeword errors were significantly reduced, and the QR Codes could still be scanned and recognized. By hiding the finder patterns of the QR Code, better integration of the QR Code with the document can be achieved.

    第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 4 第三節 研究問題 4 第四節 研究範圍與限制 5 第五節 研究流程 6 第六節 名詞解釋 7 第二章 文獻探討 8 第一節 QR Code及美化 8 第二節 半色調過網技術(Halftoning) 14 第三節 資訊隱藏技術之浮水印 29 第四節 文獻探討小節 35 第三章 研究方法 37 第一節 研究架構 37 第二節 研究工具與設備 37 第三節 實驗設計 38 第四章 結果與討論 54 第一節 QR Code輸出後的手機掃碼識別效果 54 第二節 PSNR評估後QR Code資訊隱藏成效之結果 60 第五章 研究結論與建議 63 第一節 研究結論 63 第二節 研究建議 65 參考文獻 66 附錄 71

    (一)英文文獻
    Bas, P., Chassery, J. M., & Macq, B. (2002). Image watermarking: an evolution to content based approaches. Pattern Recognition, 35(3), 545-561.
    Begum, M., & Uddin, M. S. (2020). Digital image watermarking techniques: a review. Information, 11(2), 110.
    Boonprasit, W. (2006). A study of producing smoother gradients in the flexographic process on oriented polypropylene with UV ink by varying screening techniques, gradient lengths and the surrounding. Rochester Institute of Technology.
    Chen, F.F., Zhu, J.L., Cao, P., Huo, P.J. (2017). Print anti-replication technology based on AM/FM hybrid halftone. IEEE 17th International Conference on Communication Technology (ICCT), 329-332. https://doi.org/10.1109/ICCT.2017.8359655
    Chu, H. K., Chang, C. S., Lee, R. R., & Mitra, N. J. (2013). Halftone QR codes. ACM Transactions on Graphics , 32(6), 1-8.
    Elías, P. Ž. (2014). Halftoning for multi-channel printing: algorithm development, implementation and verification , 1694, Linköping University Electronic Press.
    Floyd, R.W., Steinberg, L.(1976). An adaptive algorithm for spatial gray scale. Proceedings of The Society for Information Display, 17(2), 75–77.
    Garateguy, G. J., Arce, G. R., Lau, D. L., & Villarreal, O. P. (2014). QR images: optimized image embedding in QR Codes. IEEE Transactions on Image Processing, 23(7), 2842-2853. https://doi.org/10.1109/TIP.2014.2321501
    Gupta, R., Gupta, S., & Singhal, A. (2014). Importance and techniques of information hiding: A review. International Journal Of Computer Trends And Technology, 9(5), 260-265. https://doi.org/10.14445/22312803/IJCTT-V9P149
    Juan, Y. W., Chou, T. R., Lu, C. S., & Wang, H. C. (2021). Graphic QR Code with the second hidden QR Code by codeword rearrangement. Sensor Networks and Signal Processing, 176, 137-148.
    Kiuchi, M., & Saito, K. (2002). Frequency analysis for security printing lines, Conference on Optical Security and Counterfeit Deterrence Techniques V,4677, 110-120.
    Kwon, Y. M., Kim, M. G., & Kim, J. L. (2015). Multiscale rank-based ordered dither algorithm for digital halftoning. Information Systems, 48, 241-247. https://doi.org/10.1016/j.is.2014.06.012
    Lau, D. L., & Arce, G. R. (2018). Modern digital halftoning . CRC Press.
    Lin, L., Wu, S., Liu, S., & Jiang, B. (2017). Interactive QR Code beautification with full background image embedding. Second International Workshop On Pattern Recognition , 10443, 211-215. https://doi.org/10.1117/12.2280282
    Liu, Y., Tang, S., Liu, R., Zhang, L., & Ma, Z. (2018). Secure and robust digital image watermarking scheme using logistic and RSA encryption. Expert Systems With Applications, 97, 95-105. https://doi.org/10.1016/j.eswa.2017.12.003
    Liu, H.C., Chou, T.R., Lu, C.S., Wang, H.C. (2021). Improving readability by modifying graphic QR code microstructure. Electronics Letters, 57(23), 879-881. https://doi.org/10.1049/ell2.12301
    Mohanarathinam, A., Kamalraj, S., Prasanna Venkatesan, G. K. D., Ravi, R. V., & Manikandababu, C. S. (2020). Digital watermarking techniques for image security: a review. Journal of Ambient Intelligence and Humanized Computing, 11, 3221-3229.
    Nguyen, H.P., Retraint, F., Morain-Nicolier, F., & Delahaies, A. (2019). A watermarking technique to secure printed matrix barcode—application for anti-counterfeit packaging. Institute of Electrical and Electronics Engineers Access, 7, 131839-131850. https://doi.org/10.1109/ACCESS.2019.2937465
    Pappas, T. N., Allebach, J. P., & Neuhoff, D. (2003). Model-based digital halftoning. IEEE Signal processing magazine, 20(4), 14-27.
    Picard, J., Landry, P., & Bolay, M. (2021). Counterfeit detection with qr Codes. In Proceedings Of the 21st ACM Symposium on Document Engineering, 1-4. https://doi.org/10.1145/3469096.3474924
    Qiao, L. C., Wang, J. L., Gao, B. H., Yang, X. G., Feng, W. T., Zhang, Y. X., ... & Liu, W. (2021). Efficient 1D barCode localization method for imagery shipping label using deep learning models. International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) ,119-124. https://doi.org/10.1109/PAAP54281.2021.9720443
    Qiao, S., Fang, X., Sheng, B., Wu, W., & Wu, E. (2015). Structure-aware QR Code abstraction. The Visual Computer, 31, 1123-1133.https://doi.org/10.1007/s00371-015-1107-x
    Roetling, P. G., & Loce, R. P. (2020). Digital halftoning. Digital Image Processing Methods, 363-414. CRC Press.
    Rani, B. U., Praveena, B., & Ramanjaneyulu, K. (2015, March). Literature review on digital image watermarking. International Conference on Advanced Research in Computer Science Engineering & Technology, 1-6. https://doi.org/10.1145/2743065.2743108
    Sharma, G. (2002). Digital Color Imaging Handbook. CRC Press.
    Soon, T. J. (2008). QR Code. Synthesis Journal, 59-78.
    Tiwari, S. (2016). An introduction to QR Code technology. International Conference On Information Technology (ICIT), 39-44.https://doi.org/10.1109/ICIT.2016.021
    Ulichney, R. (1987). Digital halftoning. MIT press.
    van Renesse, R. L. (2005). Optical Document Security, 3ndEd., Artech House, London.
    Wan, W., Wang, J., Zhang, Y., Li, J., Yu, H., & Sun, J. (2022). A comprehensive survey on robust image watermarking. Neurocomputing, 488, 226-247.
    Wang, H.C., Hsiao, P.C., Lien, C.M. (2009). Method of watermark with hybrid halftone dots. US Patent 7,554,699 B2.
    Wazirali, R., Ahmad, R., Al-Amayreh, A., Al-Madi, M., & Khalifeh, A. (2021). Secure watermarking schemes and their approaches in the IOT technology: an overview. Electronics, 10(14), 1744.
    Wu, L., Wan, X., & Lu, J. (2008). Digital halftoning and the application to remote sensing images. IEEE International Conference on Computer Science and Software Engineering, 6, 137-140 .
    Xu, M., Su, H., Li, Y., Li, X., Liao, J., Niu, J., ... & Zhou, B. (2019). Stylized aesthetic QR Code. IEEE Transactions on Multimedia, 21(8), 1960-1970. https://doi.org/10.1109/TMM.2019.2891420
    (二)中文文獻:
    江瑞章、孫沛立(2020)。異質網點配置法與色彩管理之研究。中華印刷科技年報,79-86。
    任小玲&任二虎(2003)。加網技術與印刷網點形成。西安工業大學學報,第三期,108-113。
    李飛&唐正寧(2005)。數字加網技術。包裝工程(05),47-49+52.
    林志杰(2013)。二維條碼的發展與應用。中國標準化,第6期,78-81。
    姚海根(2006)。連續調圖像複制技術述評。出版與印刷期刊,第4期,2-6。
    姚海根(2006)。數字半色調技術發展簡史。出版與印刷期刊,第3期,2-6。
    趙炎(2011)。混合加網技術及其發展。廣東印刷期刊,第2期,11-13。
    管珮君 (2018)。以半色調技術隱藏兩個二維條碼及品牌保護應用之研究。台灣師範大學,碩士學位論文。
    劉幸芝 (2021)。圖像化QR Code之微結構對於辨識率之影響。台灣師範大學,碩士學位論文。
    劉真、任樂義、楊晟煒(2011)。調幅加網技術在光柵防偽技術中的應用。包裝工程期刊,第21期,90-93。
    謝顒丞(2009)。複合式網點之印刷特性。台灣藝術大學,84-89。
    鄭兆聰(2021)。生活中常見的一維條碼與二維碼。中國自動識別技術期刊,第六期,60-62。
    鄭雅文(2013)。改良式混合網點應用於數位浮水印之研究。 台灣師範大學,碩士學位論文。
    (三)網路資料:
    Andy’s BarCode World (2014)安迪的條碼世界(2014)。〈條碼的種類〉http://www.appsbarCode.com/barCode-type.php
    Code 39 :https://www.barCodelabelhk.com/education/Code-39-barCode
    Elmèr, J. (2023). Quality Assessment for Halftone Images.Digitala Vetenskapliga Arkivet. https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-195997
    QR Code版本容量:https://www.qrCode.com/zh/about/version.html
    一維條碼生成:https://www.barCodelabelhk.com/tool/barCode-generator-v3/
    康視奈部落格:看不見的條碼有助於預防仿冒產品https://www.cognex.com/zh-tw/blogs/industrial-barCode-reader/invisible-barCodes-help-prevent-counterfeit-products
    凌雲科技:QRCode防僞系統https://zh.holoteam.com/post/ticket-wristband

    下載圖示
    QR CODE