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|Title:||Fingerprint Matching using Enhanced Shape Context||Contributor(s):||Kwan, PH (author); Gao, J (author); Guo, Y (author)||Publication Date:||2006||Handle Link:||https://hdl.handle.net/1959.11/1043||Abstract:||Shape context, a robust descriptor for point pattern matching, is applied in fingerprint matching by enhancing with minutiae type and angle details. A modified matching cost between shape contexts, by including the application specific contextual information, improves the accuracy of matching when compared with the original definition. To reduce computation for practical use, a simple pre-processing step termed elliptical region filtering is applied in removing spurious minutiae prior to matching. Empirical experiments conducted on a database of fingerprint images confirmed the improvements in accuracy and speed attained by the proposed method.||Publication Type:||Conference Publication||Conference Name:||IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand, Great Barrier Island, New Zealand, 27-29/11/2006||Conference Details:||IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand, Great Barrier Island, New Zealand, 27-29/11/2006||Source of Publication:||Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand, p. 115-120||Publisher:||Image and Vision Computing New Zealand||Place of Publication:||New Zealand||Field of Research (FOR):||080109 Pattern Recognition and Data Mining||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.citr.auckland.ac.nz/ivcnz06/||Statistics to Oct 2018:||Visitors: 191
|Appears in Collections:||Conference Publication|
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