適用區域範圍之指紋辨識系統設計與實現

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：21

、訪客IP：18.220.81.106

姓名

林士永(Shi-Yong Lin) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

適用區域範圍之指紋辨識系統設計與實現
(Design and Implementation of an Embedded Fingerprint Recognition System for a Regional Area)

相關論文

★ 影像處理運用於家庭防盜保全之研究	★ 頭部姿勢辨識應用於游標與機器人之控制
★ 應用快速擴展隨機樹和人工魚群演算法及危險度於路徑規劃	★ 智慧型機器人定位與控制之研究
★ 基於人工蜂群演算法之物件追蹤研究	★ 即時人臉偵測、姿態辨識與追蹤系統實現於複雜環境
★ 基於環型對稱賈柏濾波器及SVM之人臉識別系統	★ 改良凝聚式階層演算法及改良色彩空間影像技術於無線監控自走車之路徑追蹤
★ 模糊類神經網路於六足機器人沿牆控制與步態動作及姿態平衡之應用	★ 四軸飛行器之偵測應用及其無線充電系統之探討
★ 結合白區塊視網膜皮層理論與改良暗通道先驗之單張影像除霧	★ 基於深度神經網路的手勢辨識研究
★ 人體姿勢矯正項鍊配載影像辨識自動校準及手機接收警告系統	★ 模糊控制與灰色預測應用於隧道型機械手臂之分析
★ 模糊滑動模態控制器之設計及應用於非線性系統	★ 階層式模糊控制及其在倒三角體系統之應用

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 ( 永不開放)

摘要(中)

隨著科技日新月異，使得安全性議題 (Security)愈益受重視。故本論文提出以ARM (Advanced RISC Machines) RISC(Reduced Instruction Set Computer) 32-bit微處理器為主體，配合指紋模組(Fingerprint module) 設計能應用於區域規模的嵌入式指紋辨識系統(Embedded Fingerprint Recognition System, EFRS)。
經使用此系統，系統管理者能使用指紋登載 (Enrollment)、單人辨識 (Verification)、多人辨識 (Identification)等基本功能對被辨識者進行身份辨識。此論文亦設計一公用程式 (Utility program)，此公用程式不僅能讀取此嵌入式指紋辨識系統內部狀態與記錄狀況，並且能使多個嵌入式指紋辨識系統一起運作，使之能適用於比實驗室規模更廣泛的區域性範圍。故使用本論文提出的嵌入式指紋辨識系統，能幫助系統管理者了解系統運作狀況進而掌控所監控區域範圍內使用者所發生的活動。

摘要(英)

Due to the advent of the emerging science and technology, the theme of security is getting more and more important. Herein, we present an Embedded Fingerprint Recognition System (EFRS), which consists of a fingerprint module and an ARM that is a microprocessor with 32 bits acting on RISC. The device can be applied to an embedded fingerprint recognition system in a regional area.
By using the EFRS, an EFRS manager can operate the enrollment, the verification, and the identification functions to check the user’s identity. In this study, we also present a utility program, which can read the records and fingerprints saved in the flash of a fingerprint module. The utility program can also integrate with each EFRS to work together, which makes the system used for a region area that is bigger than a laboratory. By analyzing the collected records, the EFRS manager can monitor the states of the EFRS and the activities users made.

關鍵字(中)

★ 指紋辨識模組
★ 嵌入式系統
★ 指紋
★ ARM
★ 公用程式

關鍵字(英)

★ utility program
★ Fingerprint module
★ ARM
★ Fingerprint
★ Embedded Fingerprint Recognition System

論文目次

CONTENT
CHINESE ABSTRACT
ENGLISH ABSTRACT
ACKNOWLEDGMENTS
CONTENT I
LIST OF FIGURES III
LIST OF TABLES VI
CHAPTER 1 INTRODUCTION 1
1.1 Motivation 1
1.2 Objective 5
1.3 Organization 7
CHAPTER 2 RECOGNITIN SYSTEM BASED ON BIOMETRIC IDENTIFIER 8
2.1 Biometric Identifier 8
2.2 Evaluation of Biometric Identifier 12
2.3 Feathers of Fingerprint 14
2.3.1 Composition 14
2.3.2 History 14
2.3.3 Uniqueness 16
2.3.4 Permanence 16
CHAPTER 3 FINGERPRINT RECONITION SYSTEM 18
3.1 Biometric Service Provider 18
3.1.1 Enrollment 19
3.1.2 Verification 19
3.1.3 Identification 19
3.2 Literature Review 20
3.2.1 Acquisition 20
3.2.2 Representation 22
3.2.3 Feature Extraction 25
3.2.4 Fingerprint Classification 26
3.2.5 Matching 26
CHAPTER 4 IMPLEMENTATION OF AN EMBEDDED
FINGERPRINT RECOGNITION SYSTEM 28
4.1 Hardware of EFRS 28
4.1.1 Structure of EFRS 28
4.1.2 Advanced RISC Machines 28
4.1.3 Fingerprint Module 29
4.1.4 System Platform 30
4.2 Two work modes of EFRS 32
4.2.1 Standalone Mode 33
4.2.2 Configuration Mode 37
4.3 Firmware of EFRS 40
4.3.1 Fingerprint Module Protocol 40
4.3.2 System Memory Map 46
4.3.3 Special Function Register 47
4.4 Utility Program 48
CHAPTER 5 RESULTS AND DISSCUTION 51
5.1 Standalone Mode 51
5.2 Configuration Mode 55
5.3 Performance 61
CHAPTER 6 CONCLUSIONS AND FUTURE WORK 65
REFERENCES 66

參考文獻

References
[1] The New York Times Magazine, September 1, section 6, pages 48-49, 1996.
[2] S. G. Davies, Touching Big Brother, “How Biometric Technology Will Fuse Flesh and Machine,” Information Technology & People, Vol. 7, No. 4, pp. 60-69, 1994.
[3] E. Newham, “The Biometric Report,” SJB Services, New York, 1995.
[4] H. C. Lee and R. E. Gaensslen, “Advances in Fingerprint Technology,” Elsevier, New York, 1991.
[5] Jine Ming Zhang, Jin Xian Wang, “Design and Implementation of a Laboratory Fingerprint Recognition system,” Master thesis, National Chung Cheng University, 2003.
[6] Jeng Horng Chang, Kuo Chin Fan, “Fingerprint Classification by Ridge Distribution Sequence and Ridge Distribution Model,” Ph.D. thesis, National Central University, 2001.
[7] Wison Technology Corporation, “Fingerprint Module DSPspec,” Wison Technology Corporation, Taiwan, 2004.
[8] Steve Furber, “ARM System-on-Chip Architecture,” Addison-Wesley, England, 2000.
[9] Hung-Yuan Chung, June-Cheng Ho, Shi-Yong Lin, Cheng-Chih Chien, ‘‘Gaze recognition and application,’’ International Conference of Digital Technology and Innovation Management, HUAFAN University, Taipei, Taiwan, pp.551-558, April 1, 2006.
[10] D. G. Joshi, Y. V. Rao, S. Kar, Valli Kumar and R. Kumar, “Computer-vision-based approach to personal identification using finger crease pattern, ” Pattern Recognition, Vol. 31, pp 15-22, 1998.
[11] Xiao Gui Cheng, “Acquisition and Practicability of Fingerprint,” Taipei: Sanmin books store, 2002。
[12] Raffaele Cappelli, Alessandra Lumini, Dario Maio, Member, IEEE, and Davide Maltoni, “Fingerprint Classification by Directional Image Partitioning,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 5, 1999.
[13] F. Galton, “Finger Prints,” McMillan, London, 1892.
[14] Anil Jain, Lin Hong, Sharath Pankanti, and Ruud Bolle, “An Identity Authentication System Using Fingerprints,” Proceedings of the IEEE, Digital Object Identifier , Vol. 85, Issue 9, pp 1365 - 1388, 1997.
[15] R. Clarke, “Human Identification in Information System: Management Challenges and Public Policy Issues,” Information Technology & People, Vol. 7, No. 4, pp. 6-37, 1994.
[16] The BioAPI Consortium, “BioAPI Specification Version 1.1,” March 16, 2001.
[17] F. Karen, “Encryption, smart cards, and fingerprint readers,” IEEE Spectrum, 26(8), 22, 1989.
[18] M. Hartman. “Compact fingerprint scanner techniques,” In Proc. Biometric Consortium, Ninth Meeting. June 11-12, San Jose, CA, 1996.
[19] W. Bicz, D. Banasiak, P. Bruciak, Z. Gumienny, S. Gumulinski, D. Kosz, A. Krysiak, W. Kuczynski, M. Pluta, and G. Rabiej. “Fingerprint Structure Imaging Based on an Ultra-Sound Camera,” http://www.optel.com.pl/index_en.htm.
[20] Edge Lit Hologram for Live-scan Fingerprinting, http://www.ImEdge.com.
[21] J. Klett, “Thermal imaging fingerprint technology,” In Proc. Biometric Consortium, Ninth Meeting, April 8-9, Crystal City, VA, 1997.
[22] N.D. Young, G. Harkin, R.M. Bunn, D.J. McCulloch, R.W. Wilks, and A.G. Knapp, “Novel fingerprint scanning arrays using polysilicon TFT’s on glass and polymer substrates,” IEEE Electron Device Lett., 18(1), pp. 19-20, 1997.
[23] F. R. Livingstone, L. King, J.-A. Beraldin, and M. Rioux, “Development of a Real-time Laser Scanning System for Object Recognition, Inspection, and Robot Control,” SPIE on Telemanipulator Technology and Space Telerobotics, Vol. 2057, Boston, Massachusetts, pp. 454-461, September, 1993.
[24] G. T. Candela, P.J. Grother, C.I. Watson, R.A. Wilkinson, and C.L. “Wilson. PCASYS: APattern-Level Classification Automation System for Fingerprints. NIST-Tech. Report,” NISTIR 5647, August 1995.
[25] R. Germain, A. Califano, and S. Colville, “Fingerprint matching using transformation parameter clustering,” IEEE Computational Science and Engineering, 4(4), 42-49, 1997.
[26] Finesse IT Partners Inc, http://www.fitpi.com.tw/about/index.html.
[27] S3C2410 32 bits RISC microprocessor user’s manual reversion 1.1.
[28] L. Hong, “Automatic Personal Identification Using Fingerprints,” Ph.D. thesis, Michigan State University, 1998.
[29] J.L.Horner and P.D.Gianino, “Phase-only matched filtering,” Applied Optics, vol.23, No.6, pp.812-816, 1984.

指導教授

鍾鴻源(Hung-Yuan Chung)

審核日期

2006-6-27

推文