薄型化光學指紋成像之研究

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姓名

余亮竺(Yu, Liang-Zhu) 查詢紙本館藏

畢業系所

光電科學與工程學系

論文名稱

薄型化光學指紋成像之研究
(Study of Optical Fingerprint Imaging in Slim Structures)

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摘要(中)

本論文主要是設計出一款薄型化光學指紋成像系統，分析其成像的相關特性，包含成像放大率和探討要如何擺放架構中的光源，使系統內的光接收器有最大範圍的響應。本論文發展出可用於反射式指紋辨識系統之設計，搭配空間多工和時間多工的方法，使我們可取得大量的指紋資訊。另一方面，如何提升成像對比度 (Visibility) 亦為本論文之研究，先就物理特性去探討，找尋可利用於系統之材料，為具特殊性質之光學薄膜，使影像明視度增加，進而研發出一款辨識度高且可應用於手持式裝置內的薄型化光學指紋成像系統。

摘要(英)

In this thesis, we design an optical fingerprint imaging system in slim structures and analyzed optical performances of Imaging. The analysis includes the Imaging magnification and the location of the light source, and it can improve the dynamic range in system. In the thesis, we have successfully design, which can be applied to reflective fingerprint identification system with temporal multiplexing or spatial multiplexing, and to get more fingerprint information.
On the other hand, the importance of image visibility cannot be overestimated. With the help of experimental analysis and optimized in simulation, the optical film with special physical properties can enhance the visibility of imaging has been approved. Finally, we design of optical fingerprint imaging system in slim structures with better imaging visibility which can be applied to handheld device.

關鍵字(中)

★ 薄型化
★ 指紋成像
★ 光學設計
★ 光學薄膜

關鍵字(英)

★ slim structures
★ fingerprint imaging
★ optical design
★ optical film

論文目次

摘要 i
Abstract ii
致謝 iii
目錄 vi
圖目錄 viii
表目錄 xii
第一章緒論 1
1.1 前言 1
1.2 研究動機與目的 2
1.3 論文大綱 4
第二章基本原理 5
2.1 引言 5
2.2 基礎原理 6
2.2.1 反射定律 6
2.2.2 折射定律 7
2.3 傳統光學式指紋辨識系統 8
2.4 電容式指紋辨識系統 9
2.5 超音波指紋辨識系統 10
第三章反射式指紋成像系統 11
3.1 影像失真之計算推導 11
3.2 Working Range 分析 16
3.3 使用時間多工或空間多工之反射式指紋成像系統 21
3.4 總結 26
第四章提升影像對比度之方法與驗證 27
4.1 薄型化光學指紋成像之架構 27
4.2 提升影像對比度之方法 32
4.3 光學薄膜效應之驗證 34
4.4 指紋成像系統之外觀多色技術 47
4.5 總結 56
第五章結論 57
參考文獻 60
中英文名詞對照表 62

參考文獻

[1] F. Galton, Finger Prints ( Macmillan, London, 1892).
[2] D. Maltoni, D. Maio, A.K. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition, 2nd Edition (2009).
[3] A. K. Jain, A. Ross, and S. Prabhakar, “An introduction to biometric recognition,” IEEE Transactions on Circuits and Systems for Video Technology, 14, 4-20 (2004).
[4] M. Watanabe, T. Endoh, M. Shiohara, and S. Sasaki, “Palm vein authentication technology and its applications,” In: Proceedings of Biometrics Symposium. 37–38 (2005).
[5] H. A. Rowley, S. Baluja, and T. Kanade, “Neural Network-Based Face Detection,” IEEE Trans Pattern Anal Mach Intell. 20, 23-38 (1998).
[6] R. P. Wildes, J. C. Asmuth, G. L. Green, S. C. Hsu, R. J. Kolczynski, J. R. Matey, and S. E. McBride, “A system for automated iris recognition,” IEEE Workshop on Applications of Computer Vision, 121-128 (1994).
[7] S. M. R. Kabir, R. Rahman, M. Habib and M. R. Khan, “Person Identification By Retina Pattern Matching,” in Proc. ICECE 2004, Dhaka, Bangladesh, 28-30 (2004).
[8] C. L. Lin and K. C. Fan, “Biometric verification using thermal images of palm-dorsa vein patterns,” IEEE 14,199-213 (2004).
[9] S. Katagiri and C. H. Lee, “A New Hybird Algorithm for Speech Recognition Based on HMM Segmentation and Learning Vector Quantization,” IEEE Trans. on Speech and Audio Processing, 1, 421-430 (1993).
[10] IHS Markit Website, https://www.ihs.com/index.html.
[11] H. F. Lin, C. F. Chen, H. T. Jan and H.C. Hsu, “Optical design for enhanced prism type fingerprint scanner image contrast with asymmetrical aspheric lens” Science Direct. 121, 2250-2253 (2010).
[12] 新電子雜誌網頁, http://www.mem.com.tw/.
[13] Wikipedia website, https://de.wikipedia.org/.
[14] M. V. Rohr, Geometrical Investigation of the Formation of Images in Optical Instruments (H.M.STATIONARY OFFICE, 1920).
[15] V. N. Mahajan, Fundamentals of Geometrical Optics (SPIE, 2014).
[16] E. Hecht, Optics, 4th ed. (Addison Wesley, San Francisco, 2002).
[17] V. N. Mahajan, Optical Imaging and Aberrations: Part I Ray Geometrical Optics (SPIE PRESS, Washington, 1998).
[18] 中華民國內政部移民署網站, http://www.immigration.gov.tw/mp.asp.
[19] Higuchi and Teruyuki, “Fingerprint input apparatus,” United States Patent, US6,829,375 (2004).
[20] Fujieda and Ichiro, “ Fingerprint image entry device of electrostatic capacitance sensing type,” United States Patent, US6,055,324 (2000).
[21] A. G. Dickinson, R. McPherson,s, S. Mendis, P. C. Ross and J. A. Tyson, “Capacitive fingerprint acquisition sensor,” United States Patent, US6,016,355 (2000).
[22] APPLE Website, http://www.apple.com/tw/iphone-6s/specs/.
[23] QUALCOMM website, https://www.qualcomm.com/.
[24] Kaoru Uchida, “Fingerprint characteristic extraction apparatus as well as fingerprint classification apparatus and fingerprint verification apparatus for use with fingerprint characteristic extraction apparatus,” United States Patent, US6,091,839 (2000).
[25] L. Hong, Y. Wan and A. K. Jain, “Fingerprint image enhancement: algorithm and performance evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 20,777-789 (1998).
[26] B. W. D′Andrade and S. R. Forrest, “White organic light‐emitting devices for solid‐state lighting,” Adv. Mater. 16, 1585-1595 (2004).
[27] D. A. Steigerwald, J. C. Bhat, D. Collins, R. M. Fletcher, M. O. Holcomb, M. J. Ludowise, P. S. Martin and S. L.Rudaz, “Illumination with solid state lighting technology,” IEEE Topics Quantum Electron, 8, 310-320 (2002).
[28] 3M光學薄膜網站, http://solutions.3m.com.tw/wps/portal/3M/zh_TW/TW_AADfilm/home/Autofilm/Introduction/ProductFeature/
[29] Z. Gao, X. You, L. Zhou, and W. Zeng, "A novel matching technique for fingerprint recognition by graphical structures," ICWAPR. 77-82 (2011).
[30] R. Cappelli, M. Perrara, and D. Maltoni, “Minutia cylinder-code: A new representation and marking technique for fingerpint recognition,” IEEE Transactions on Pattern Analysis Machine Intelligence, 12, 2128-2141 (2010).
[31] 3M Website, http://solutions.3m.com.tw/wps/portal/3M/zh_TW/TW_AADfilm/home/Autofilm/Introduction/ProductFeature/.
[32] BRO ASAP Website, http://www.breault.com/.
[33] 國家實驗研究院儀器科技研究中心。
http://www.itrc.narl.org.tw/Publication/Newsletter/no67/p14.php.
[34] R. W. Hoffman, “Thin Films,” Phys. 3, (1966).

指導教授

楊宗勳

審核日期

2016-8-30

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