Fingerprint Matching using Enhanced Shape Context

Author(s)
Kwan, PH
Gao, J
Guo, Y
Publication Date
2006
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.
Citation
Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand, p. 115-120
ISBN
9780473117924
Link
Publisher
Image and Vision Computing New Zealand
Title
Fingerprint Matching using Enhanced Shape Context
Type of document
Conference Publication
Entity Type
Publication

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