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研究生:吳柄灃
研究生(外文):Wu, Bing-Feng
論文名稱:自動指紋辨識系統的探討
論文名稱(外文):A Study on Automatic Fingerprint Identification Systems
指導教授:陳朝欽陳朝欽引用關係
學位類別:碩士
校院名稱:國立清華大學
系所名稱:資訊系統與應用研究所
學門:電算機學門
學類:系統設計學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
論文頁數:25
中文關鍵詞:指紋辨識特徵點
相關次數:
  • 被引用被引用:1
  • 點閱點閱:595
  • 評分評分:
  • 下載下載:203
  • 收藏至我的研究室書目清單書目收藏:0
生物辨識可以根據每一個人生理上或行為上的特徵來準確的辨識身分,一般常見生理上的特徵有指紋、人臉與虹膜等等。在各種常見的生物辨識系統中,指紋辨識系統被認為是最常見且也是辨識度最高的系統。在最近幾年,指紋辨識系統被大規模的使用在各種不同的情況下,像是出入境管理、犯罪防治、刑事辨識等等用途中。
在本篇論文中,我們實作了一個基於特徵點比對的自動指紋辨識系統,我們的自動指紋辨識系統測試了2個資料庫,分別是從國立清華大學的圖形識別及影像處理實驗室所收集出來的Rindex28和Lindex101的兩個資料庫。這個實驗結果是在Intel Core i5 3.10GHz CPU和8 GB SDRAM的電腦上且在作業系統為Windows 7的環境底下執行,我們所實驗出來的辨識率分別是Rindex28:99.11% (111/112)、Lindex101:87.87% (355/404)。

Biometrics could accurately identify or verify individuals based upon each person’s unique physical or behavioral characteristics. Among all the biometric traits, fingerprint-based identification is the oldest method which has been successfully used in numerous applications. In recent years, automated fingerprint identification systems (AFIS) have been widely used, such as homeland security, law enforcement, criminal identification.
In this thesis, we implement a minutiae-based AFIS, our system tests on 2 databases of fingerprint images, such as Rindex28, Lindex101 from PRIP Lab at NTHU. The system environment is implemented on a system of Intel Core i5 with 3.10 GHz CPU and 8 GB SDRAM running Windows 7. According to the type of top 3 matches, the recognition rates are 99.11% (111/112), 87.87% (355/404), respectively.

Table of Contents
Chapter 1 Introduction 1
Chapter 2 Fingerprint Preprocessing and Minutiae Representation 4
2.1 Image Enhancement 4
2.2 Region of Interest (ROI) Detection 5
2.3 Image Binarization 6
2.4 Image Smoothing 7
2.5 Thinning 8
2.6 Minutiae Extraction 8
2.7 Minutiae Representation 10
Chapter 3 Fingerprint Classification 12
3.1 Orientation Computation 12
3.2 Singular Point Type Detection 14
3.3 Fingerprint Classification 15
Chapter 4 Fingerprint Matching 17
4.1 Alignment 17
4.2 Minutiae Matching 18
Chapter 5 Experimental Results 21
5.1 Experiments on Rindex28 21
5.2 Experiments on Lindex101 22
Chapter 6 Conclusion and Future work 23
References 24

[Galt1982] F. Galton, “Fingerprints”, McMillan, London, 1982.
[Gonz1992] R.C. Gonzalez and R.E. Woods, “Digital Image Processing”, Reading, MA: Addison-Wesley Publishing Company, 3rd Edition, 1992.
[Henr1900] E. Henry, “Classification and Uses of Finger Prints”, London Routledge, 1900.
[Hong1998] L. Hong, Y. Wan, and A.K. Jain, “Fingerprint Image Enhancement: Algorithm and Performance Evaluation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.20, No.8, 777-789, 1998.
[Huan2007] P. Huang, C.Y. Chang, and C.C. Chen, “Implementation of An Automatic Fingerprint Identification System”, Proceedings of IEEE International Conference on Electro/Information Technology, 461-464, May 2007.
[Jain1997] A.K. Jain, L. Hong, S. Pankanti and R. Bolle, “An Identity Authentication System Using Fingerprints”, Proceedings of The IEEE, Vol.85, No.9, 1365-1388, 1997.
[Jain2007a] A.K. Jain, “Biometric recognition: overview and recent advances”, Progress in Pattern Recognition, Image Analysis and Applications, Vol.4756, 13-19, November 2007.
[Jain2007b] A.K. Jain, Y. Chen and M. Demirkus, “Pores and Ridges: High Resolution Fingerprint Matching Using Level 3 Features”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.29, No.1, 15-27, 2007.
[Jain2009] A.K. Jain, D. Maltoni and S. Prabhakar, “Handbook of Fingerprint Recognition”, Springer, June 2009.

[Karu1996] K. Karu and A.K. Jain, “Fingerprint Classification”, Pattern Recognition, Vol.29, No.3, 284-404, 1996.
[Li2008] K.C. Li, “Towards Building A Fingerprint-Based Verification System”,
M.S. Thesis, National Tsing Hua University, March 2008.
[Lin2010] C.P. Lin, “Software Development on Automatic Fingerprint Identification Systems”, M.S. Thesis, National Tsing Hua University, May 2010.
[Nacc1984] N.J. Naccache and P. Shinghal, “An investigation into the skeletonization approach of Hilditch”, Pattern Recognition, Vol.17, No.3, 279-284, 1984.
[Prab2011] S. Prabhakar, A. Ivanisov, and A.K. Jain, “Biometric Recognition: Sensor Characteristics and Image Quality”, IEEE Instrumentation & Measurement Society Magazine, Vol.14, No.3, 10-16, June 2011.
[Tsai2007] H.Y. Tsai, “Automatic Fingerprint Identification System”, M.S. Thesis, National Tsing Hua University, Dec 2007.
[Web01] http://www.airport-world.com/news-articles/item/1210-taiwan-airports -to-open-e-gates, last access on May 31, 2012.
[Web02] http://english.rti.org.tw/newsinfo.aspx?tid=B73AE0BA93816FE4,
last access on May 31, 2012.
[Web03] http://en.wikipedia.org/wiki/Fingerprint_recognition,
last access on May 31, 2012.
[Web04] http://en.wikipedia.org/wiki/Scale-invariant_feature_transform,
last access on May 31, 2012.

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