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  • 學位論文

防偽指紋辨識系統之發展

Development of an Anti-Forgery Fingerprint Verification System

指導教授 : 黃漢邦
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摘要


在現今的生活中,指紋辨識系統對於我們日常生活而言已經是相當安全。但是倘若有朝一日生物科技有突破性的進展,或是某個歹徒將使用者的手指頭切下來,複製或取得一枚認證指紋將會是一件容易的事。有鑑於此,我們將發展一個防偽指紋辨識系統來確保系統所擷取到的指紋乃直接從認證者的手指中取得,而非從一枚複製或砍下的指頭中取得。 防偽指紋辨識系統是一個結合指紋與靜脈等生物特徵的辨識器。當使用者將其手指放置在感應區內,系統將啟動第一階段檢測機制,用以獲取使用者的主要生物特徵--指紋,來確認輸入的指紋屬於一位已認證的使用者。待系統確定該枚指紋屬於某位認證者後,第二階段的靜脈比對將會被啟動。在比對靜脈時,系統會將所擷取的使用者靜脈與指紋所確認之認證者靜脈相比對,以確保系統所擷取來的指紋是從該認證者手指所擷取來,而非是從擷取自一枚套在入侵者手上的複製指紋,或是一只被截下的死體指頭。如果所擷取的指紋在第一階段指紋辨識就不符合,系統將直接回絕該使用者而不再做相關的比較。

關鍵字

指紋辨識 靜脈辨識

並列摘要


In general, the fingerprint verification systems are good enough for daily secure life. But if the biometric technology of duplicating fingerprints has a significant improvement, or a bandit cuts off the authorizer’s finger, the only fingerprint verification procedure is not safe any more. Therefore, we have to develop an Anti-Forgery Fingerprint Verification System to ensure the fingerprint pattern directly extracting from one’s finger but not a duplicated fingerprint mask. An AFFVS (Anti-Forgery Fingerprint Verifications System) is a verification system combined with the biometric indicators of both fingerprint and finger-vein patterns. When a user places his finger on the sensor, the system will first check the primal feature, fingerprint pattern, to ensure that the input fingerprint pattern belongs to a authorized user, and then AFFVS will compare the input finger-vein pattern with the authorized user’s finger-vein pattern to guarantee the captured fingerprint is really acquired from the authorized person rather than the forgery fingerprint mask. But if the AFFVS decides the input fingerprint pattern as an invader, it will directly reject the user and will not do any vein-comparing procedure.

並列關鍵字

fingerprint finger-vein wavelet verification system

參考文獻


[1] E. Aboufadel and S. Schlicker, Discovering Wavelets, John Wiley & Sons, Inc., 1999.
[2] A.N. Akansu, and R.A. Haddad, Multiresolution Signal Decomposition, Academic Press, Inc., San Diego, CA 1992.
[3] J. Berry, and D.A. Stoney, The history and development of finger printing in advance in fingerprint technology, CRCPress, Florida, 2nd Edition, 2001, pp 1-40.
[5] J.C. Christopher BurGes, “A Tutorial of Support Vector Machines for Pattern Recognition,” Boston: Kluwer Academic Publisher, 1999.
[6] J.H. Chang, and K.C. Fan, “Fingerprint Ridge Allocation in Direct Gray-scale Domain,” Pattern Recognition, vol. 34, pp. 1907-1925, 2001.

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