Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/1043
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
Views: 195
Downloads: 0
Appears in Collections:Conference Publication

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

58
checked on Mar 3, 2019
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.