Fingerprint mosaicking by rolling and sliding

Kyoungtaek Choi, Hee Seung Choi, Jaihie Kim

Research output: Contribution to journalConference article

18 Citations (Scopus)

Abstract

In this paper, we propose a new scheme that a user enrolls his fingerprint images sequentially captured by rolling and sliding his finger, thus continuously contacting on the sensor. We also developed an image-fusion algorithm to mosaic the images obtained by the enrollment scheme. Conventional fusion algorithms for fingerprint images are based on large-sized sensors, and they are easily failed to combine images if there are not enough common areas among images. Our enrollment scheme assures that the common area between two sequential images is large enough to be combined even with a small-sized sensor. Experimental results show that average combined images are 1.91 times larger than a single image, and success rate for combining is 2.3 times higher than a conventional dab approach.

Original languageEnglish
Pages (from-to)260-269
Number of pages10
JournalLecture Notes in Computer Science
Volume3546
Publication statusPublished - 2005 Oct 17
Event5th International Conference on Audio - and Video-Based Biometric Person Authentication, AVBPA 2005 - Hilton Rye Town, NY, United States
Duration: 2005 Jul 202005 Jul 22

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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