結合空間統計特徵和指紋特徵點比對的指紋辨識方法

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：117

、訪客IP：3.15.193.94

姓名

田韶華(SHAO-HUA TIEN) 查詢紙本館藏

畢業系所

資訊工程學系在職專班

論文名稱

結合空間統計特徵和指紋特徵點比對的指紋辨識方法
(Fingerprint Recognition Method Based on Fusion of Spatial Statistical Features and Minutia Matching)

相關論文

★ 整合GRAFCET虛擬機器的智慧型控制器開發平台	★ 分散式工業電子看板網路系統設計與實作
★ 設計與實作一個基於雙攝影機視覺系統的雙點觸控螢幕	★ 智慧型機器人的嵌入式計算平台
★ 一個即時移動物偵測與追蹤的嵌入式系統	★ 一個固態硬碟的多處理器架構與分散式控制演算法
★ 基於立體視覺手勢辨識的人機互動系統	★ 整合仿生智慧行為控制的機器人系統晶片設計
★ 嵌入式無線影像感測網路的設計與實作	★ 以雙核心處理器為基礎之車牌辨識系統
★ 基於立體視覺的連續三維手勢辨識	★ 微型、超低功耗無線感測網路控制器設計與硬體實作
★ 串流影像之即時人臉偵測、追蹤與辨識─嵌入式系統設計	★ 一個快速立體視覺系統的嵌入式硬體設計
★ 即時連續影像接合系統設計與實作	★ 基於雙核心平台的嵌入式步態辨識系統

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]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

科技日新月異,產品越做越小,指紋感測器面積和擷取的 DPI 也越來越小, 指紋影像的解析度或是影像複雜度都會影響辨識的結果,傳統的單一種辨識方法已經不敷使用,在此提出特徵點辨識和非特徵點辨識兩種辨識方法再加以融合,非特徵點辨識方法使用了統計和機率類神經網路,經過指紋的訓練再加以分類來達到目的,最後用決策融合的方法上實驗了 max 和 two-stage 等融合方式,決策融合後 two-stage 模式的錯誤率低於特徵點和非特徵點辨識方法。

摘要(英)

Product get smaller and technological improve every day, relatively small area of the fingerprint sensor to capture the DPI is also getting smaller and smaller, resolution or image complexity will affect the image of the fingerprint identification result, the traditional approach has been to identify a single one inadequate use of feature points presented in this recognition and non-recognition feature points plus two kinds of identification method to fusion, non-feature point identification method uses a statistical and probability neural network, coupled with training through fingerprint classification to achieve their goals in decision fusion experiments on the max and two-stage and other fusion methods, and finally decision fusion experiment error rate lower than the previous two individual identification party.

關鍵字(中)

★ 指紋辨識

關鍵字(英)

論文目次

目錄
摘要............................................................................................................................ I
Abstract....................................................................................................................... II
誌謝.............................................................................................................................. III
圖目錄..........................................................................................................................VI
表目錄....................................................................................................................... VIII
第一章緒論..................................................................................................................1
1.1 研究背景與動機.......................................................................................................1 1.2 研究目的...................................................................................................................2 1.3 論文架構 .................................................................................................................... 3
第二章基於特徵點的指紋辨識方法..........................................................................4
2.1 指紋前處理 ............................................................................................................. 4 2.1.1 指紋影像增強................................................................................................ 4 2.1.2 指紋影像處理................................................................................................. 7
2.2 特徵擷取 ................................................................................................................. 9
2.3 特徵比對 ............................................................................................................... 11
第三章基於空間統計的指紋辨識方法....................................................................13
3.1 空間矩指紋特徵擷取 ........................................................................................... 13
3.2 機率神經網路分類器 ........................................................................................... 15
3.3 空間統計指紋辨識系統.........................................................................................20
第四章指紋特徵融合與實驗....................................................................................22 IV
4.1 實驗平台 .................................................................................................................. 22 4.2 系統架構 .................................................................................................................. 23 4.3 辨識性能評估 .......................................................................................................... 24 4.4 minutiae 方法性能評估 ........................................................................................... 27 4.5 non-minutiae 實驗 ................................................................................................... 30 4.6 特徵融合性能評估實驗 .......................................................................................... 33
第五章結論................................................................................................................35 5.1 結論 ......................................................................................................................... 35
參考文獻...................................................................................................................... 36 附錄.............................................................................................................................. 38

參考文獻

[1] A. Jain, L. Hong, and R. Bolle, ”On-line fingerprint verification,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 302-314, 1997.
[2] A. K. Jain, L. Hong, S. Pankanti, and R. Bolle, ”An identity-authentication system using fingerprints,” Proceedings of the IEEE, vol. 85, pp. 1365-1388, 1997.
[3] M. S. Helfroush and M. Mohammadpour, ”Fingerprint verification system: A non-minutiae based approach,” in Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on, 2009, pp. 1-4.
[4] 吳芳宇, ”指紋辨識系統,” 2001, pp. 2-18.
[5] J. Yang, Non-minutiae based fingerprint descriptor, 2011, pp. 81-83.
[6] 黃建棟, ”指紋 minutiae 之品質分析及研究,” 2006, pp. 2-3.
[7] M. I. Heywood and P. D. Noakes, ”Fractional central moment method for
movement-invariant object classification,” Vision, Image and Signal
Processing, IEE Proceedings -, vol. 142, pp. 213-219, 1995.
[8] ”A Note on Invariant Moments in Image Processing,” Systems, Man and
Cybernetics, IEEE Transactions on, vol. 11, pp. 831-834, 1981.
[9] B. Garg, A. Chaudhary, K. Mendiratta, and V. Kumar, ”Fingerprint
recognition using Gabor Filter,” in Computing for Sustainable Global Development (INDIACom), 2014 International Conference on, 2014, pp. 953-958.
[10] I. Emiroglu and M. B. Akhan, ”Pre-processing of fingerprint images,” in Security and Detection, 1997. ECOS 97., European Conference on, 1997, pp. 147-151.
[11] L. Houng, Y. Wan, and A. K. Jain, ”Fingerprint Image Enhancement: Algorithm and Performance Evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, pp. 777-780, 1998.
[12] J. C. Amengual, A. Juan, J. C. Perez, F. Prat, S. Saez, and J. M. Vilar, ”Real-time minutiae extraction in fingerprint images,” in Image Processing and Its Applications, 1997., Sixth International Conference on, 1997, pp. 871-875 vol.2.
[13] D. Maio and D. Maltoni, ”A structural approach to fingerprint 36
classification,” in Pattern Recognition, 1996., Proceedings of the 13th
International Conference on, 1996, pp. 578-585 vol.3.
[14] A. K. Jain, F. Jianjiang, and K. Nandakumar, ”Fingerprint Matching,”
Computer, vol. 43, pp. 36-44, 2010.
[15] P. S. Maloney and D. F. Specht, ”The use of probabilistic neural networks
to improve solution times for hull-to-emitter correlation problems,” in Neural Networks, 1989. IJCNN., International Joint Conference on, 1989, pp. 289-294 vol.1.
[16] T. Bedford, R. Denning, M. Revie, and L. Walls, ”Applying Bayes linear methods to support reliability procurement decisions,” in Reliability and Maintainability Symposium, 2008. RAMS 2008. Annual, 2008, pp. 341-346.
[17] FVC2000. Available: http://bias.csr.unibo.it/fvc2000/
[18] R. Cappelli, A. Erol, D. Maio, and D. Maltoni, ”Synthetic
fingerprint-image generation,” in Pattern Recognition, 2000. Proceedings. 15th International Conference on, 2000, pp. 471-474 vol.3.

指導教授

陳慶瀚

審核日期

2014-11-13

推文