Optimization based fingerprint direction field estimation

Nie Dongdong, Ma Lizhuang, Xiao XueZhong, Xiao Shuangjiu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Fingerprint direction field estimation is a key step among most of fingerprint enhancement systems, and so far, in most of systems it heavily relies on local ridge gradient information. However, this method is sensitive to noises and often results in poor estimation in regions where there are too much noises. In this paper, we introduce an effective algorithm to estimate the fingerprint direction field accurately. By using the global ridge characters, the fingerprint direction field is optimized from squared gradients. Experimental results indicate that our algorithm can improve the accuracy of the ridge direction estimation and reduce the influence of noises effectively.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages6265-6268
Number of pages4
StatePublished - 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 1 Sep 20054 Sep 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period1/09/054/09/05

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