Local Correlation-based Fingerprint Matching

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Presentation transcript:

Local Correlation-based Fingerprint Matching Authors: Karthik Nandakumar, Anil K. Jain Source: To Appear in Proceedings of ICVGIP, Kolkata, December 2004 Speaker: Shu-Fen Chiou（邱淑芬）

Outline Introduction Proposed Method Experimental Results Conclusions Comment

指紋特性: 唯一/萬人不同的關鍵性特徵本身之永久不變事後追查的能力特徵取得之變動性

指紋辨識 Query Minutiae Template Minutiae

Proposed Method Minutiae Extraction Fingerprint Alignment Local Correlation-based Matching

Minutiae Extraction

Minutiae Extraction

Fingerprint Alignment

Fingerprint Alignment

Local Correlation-based Matching

Experimental Results Data : 160 users

Experimental Results

Experimental Results

Conclusions The performance of our algorithm is slightly inferior to that of the 2D dynamic programming based minutiae matcher, mainly due to the inability to handle fingerprint images of very low quality. However, integrating the proposed algorithm with the 2D dynamic programming based matching yields a better matcher.

Comment R tree db Location, relation,… Template image R tree Match Query image