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Fingerprint orientation analysis with topological modeling

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6 Author(s)
Hou, Z. ; Inst. for Infocomm Res., Singapore ; Li, J. ; Lam, H.K. ; Chen, L.
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This paper proposes to characterize the fingerprint orientation using a novel topological representation, which transforms the orientation field into a map composed of a set of geometric objects and analyzes the properties of each geometric object based on two assumptions: regional coherence assumption and convexity assumption. Different from prior works on fingerprint orientation analysis, this approach has a capability to identify where the errors happen, not only the ldquorandom errorsrdquo (which is assumed by local-filtering and global modeling methods), but also the ldquostructure irregularitiesrdquo, which often occur in real prints and impose difficulty on existing techniques.

Published in:

Pattern Recognition, 2008. ICPR 2008. 19th International Conference on

Date of Conference:

8-11 Dec. 2008