Fingerprint Matching using Enhanced Shape Context

PH Kwan; J Gao; Y Guo

Fingerprint Matching using Enhanced Shape Context

PH Kwan
, J Gao
, Y Guo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand
Editors	P Delmas, J James, J Morris
Place of Publication	New Zealand
Publisher	Image and Vision Computing New Zealand
Pages	115-120
ISBN (Print)	9780473117924
Publication status	Published - 2006
Event	IVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand - Great Barrier Island, New Zealand Duration: 27 Nov 2006 → 29 Nov 2006

Conference

Conference	IVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand
City	Great Barrier Island, New Zealand
Period	27/11/06 → 29/11/06

Keywords

Pattern Recognition and Data Mining

Access to Document

https://hdl.handle.net/1959.11/1043

Handle.net

Persistent link

Cite this

@inproceedings{e1f5abb0ff6946e5a13621aa096fd63a,

title = "Fingerprint Matching using Enhanced Shape Context",

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.",

keywords = "Pattern Recognition and Data Mining",

author = "PH Kwan and J Gao and Y Guo",

year = "2006",

language = "English",

isbn = "9780473117924",

pages = "115--120",

editor = "P Delmas and J James and J Morris",

booktitle = "Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand",

publisher = "Image and Vision Computing New Zealand",

note = "IVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand ; Conference date: 27-11-2006 Through 29-11-2006",

}

Kwan, PH, Gao, J & Guo, Y 2006, Fingerprint Matching using Enhanced Shape Context. in P Delmas, J James & J Morris (eds), Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand. Image and Vision Computing New Zealand, New Zealand, pp. 115-120, IVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand, Great Barrier Island, New Zealand, 27/11/06. <https://hdl.handle.net/1959.11/1043>

Fingerprint Matching using Enhanced Shape Context. / Kwan, PH; Gao, J; Guo, Y.
Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand. ed. / P Delmas; J James; J Morris. New Zealand: Image and Vision Computing New Zealand, 2006. p. 115-120.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fingerprint Matching using Enhanced Shape Context

AU - Kwan, PH

AU - Gao, J

AU - Guo, Y

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

KW - Pattern Recognition and Data Mining

UR - http://www.citr.auckland.ac.nz/ivcnz06/

M3 - Conference contribution

SN - 9780473117924

SP - 115

EP - 120

BT - Proceedings of IVCNZ 2006: Twenty-first International Conference of Image and Vision Computing New Zealand

A2 - Delmas, P

A2 - James, J

A2 - Morris, J

PB - Image and Vision Computing New Zealand

CY - New Zealand

T2 - IVCNZ 2006: 21st International Conference of Image and Vision Computing New Zealand

Y2 - 27 November 2006 through 29 November 2006

ER -