1 / 15

Local Correlation-based Fingerprint Matching

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.

phelan-mcmillan
Download Presentation

Local Correlation-based Fingerprint Matching

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 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）

  2. Outline • Introduction • Proposed Method • Experimental Results • Conclusions • Comment

  3. 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

  4. 指紋辨識 Query Minutiae Template Minutiae

  5. Proposed Method • Minutiae Extraction • Fingerprint Alignment • Local Correlation-based Matching

  6. Minutiae Extraction

  7. Minutiae Extraction

  8. Fingerprint Alignment

  9. Fingerprint Alignment

  10. Local Correlation-based Matching

  11. Experimental Results Data : 160 users

  12. Experimental Results

  13. Experimental Results

  14. 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.

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

More Related