research-article

Towards standardised fingerprint matching robustness assessment: the StirMark toolkit -- cross-database comparisons with minutiae-based matching

Authors:

Jutta Hämmerle-Uhl,

Michael Pober,

Andreas UhlAuthors Info & Claims

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

Pages 111 - 116

https://doi.org/10.1145/2482513.2482531

Published: 17 June 2013 Publication History

Get Access

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

Towards standardised fingerprint matching robustness assessment: the StirMark toolkit -- cross-database comparisons with minutiae-based matching

Pages 111 - 116

Abstract
References

Abstract

We propose to establish a standardised tool in fingerprint recognition robustness assessment, which is able to simulate a wide class of acquisition conditions, applicable to any given dataset and also of potential interest in forensic analysis. As an example, StirMark image manipulations (as being developed in the context of watermarking robustness assessment) are applied to fingerprint data to generate test data for robustness evaluations, thereby interpreting certain image manipulations as being highly related to realistic fingerprint acquisition conditions. Experimental results involving three different minutiae-based fingerprint matching schemes applied to FVC2004 data underline the need for standardised testing and a corresponding simulation toolset.

References

[1]

F. Alonso-Fernandes, J. Bigun, J. Fierrez, H. Fronthaler, K. Kollreider, and J. Ortega-Garcia. Fingerprint recognition. In D. Petrovska-Delacretaz, G. Chollet, and B. Dorizzi, editors, Guide to Biometric Reference Systems and Performance Evaluation, pages 51--88. Springer-Verlag, 2009.

Google Scholar

[2]

R. Cappelli. Synthetic fingerprint generation. In D. Maltoni, D. Maio, A. Jain, and S. Prabhakar, editors, Handbook of Fingerprint Recognition (2nd Edition), pages 271--302. Springer-Verlag, 2009.

Google Scholar

[3]

S. Kiltz, J. Dittmann, and C. Vielhauer. Challenges in contact-less latent fingerprint processing in crime scenes - review of sensors and image processing investigations. In Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), pages 1504--1508, 2012.

Google Scholar

[4]

M. Kutter and F. A. P. Petitcolas. A fair benchmark for image watermarking systems. In P. W. Wong and E. J. Delp, editors, Proceedings of the 11th SPIE Annual Symposium, Electronic Imaging '99, Security and Watermarking of Multimedia Contents, volume 3657, pages 226--239, San Jose, CA, USA, Jan. 1999.

Google Scholar

[5]

M. Kutter and F. A. P. Petitcolas. Fair evaluation methods for image watermarking systems. Journal of Electronic Imaging, 9(4):445--455, Oct. 2000.

Crossref

Google Scholar

[6]

D. Maio, D. Maltoni, R. Cappelli, J. L. Wayman, and A. K. Jain. FVC2004: Third Fingerprint Verification Competition. In ICBA, volume 3072 of LNCS, pages 1--7. Springer Verlag, 2004.

Google Scholar

[7]

D. Maltoni, D. Maio, A. Jain, and S. Prabhakar. Handbook of Fingerprint Recognition (2nd Edition). Springer-Verlag, 2009.

Digital Library

Google Scholar

[8]

P. Meerwald and S. Pereira. Attacks, applications and evaluation of known watermarking algorithms with Checkmark. In P. W. Wong and E. J. Delp, editors, Proceedings of SPIE, Electronic Imaging, Security and Watermarking of Multimedia Contents IV, volume 4675, pages 293--304, San Jose, CA, USA, Jan. 2002. SPIE.

Crossref

Google Scholar

Cited By

View all

Söllinger DKirchgasser SUhl AMakushin ADittmann J(2023)Protocol Based Similarity Evaluation of Publicly Available Synthetic and Real Fingerprint Datasets2023 IEEE International Joint Conference on Biometrics (IJCB)10.1109/IJCB57857.2023.10448569(1-9)Online publication date: 25-Sep-2023
https://doi.org/10.1109/IJCB57857.2023.10448569
Kirchgasser SKauba CUhl A(2021)Assessment of Synthetically Generated Mated Samples from Single Fingerprint Samples Instances2021 IEEE International Workshop on Information Forensics and Security (WIFS)10.1109/WIFS53200.2021.9648394(1-6)Online publication date: 7-Dec-2021
https://doi.org/10.1109/WIFS53200.2021.9648394
Kirchgasser SUhl A(2017)Template ageing in non-minutiae fingerprint recognition2017 5th International Workshop on Biometrics and Forensics (IWBF)10.1109/IWBF.2017.7935091(1-6)Online publication date: Apr-2017
https://doi.org/10.1109/IWBF.2017.7935091
Show More Cited By

Index Terms

Towards standardised fingerprint matching robustness assessment: the StirMark toolkit -- cross-database comparisons with minutiae-based matching
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

Recommendations

Fingerprint Matching Using Global Minutiae and Invariant Moments
CISP '08: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04

In this paper, a fingerprint matching algorithm based on global minutiae and invariant moments is proposed. Although minutiae features based method is popular in most case of fingerprint matching, minutiae are difficult to be extracted robustly in low ...
Direct Pore Matching for Fingerprint Recognition
ICB '09: Proceedings of the Third International Conference on Advances in Biometrics

Sweat pores on fingerprints have proven to be useful features for personal identification. Several methods have been proposed for pore matching. The state-of-the-art method first matches minutiae on the fingerprints and then matches the pores based on ...
Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy

Minutiae are very important features for fingerprint representation, and most practical fingerprint recognition systems only store the minutiae template in the database for further usage. The conventional methods to utilize minutiae information are ...

Comments

Information & Contributors

Information

Published In

IH&MMSec '13: Proceedings of the first ACM workshop on Information hiding and multimedia security

June 2013

242 pages

ISBN:9781450320818

DOI:10.1145/2482513

General Chair:
William Puech
LIRMM & University of Montpellier, France
,
Program Chairs:
Marc Chaumont
LIRMM & University of Nimes, France
,
Jana Dittmann
Otto-von-Guericke University, Germany
,
Patrizio Campisi
University of Roma TRE, Italy

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 June 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

IH&MMSec '13

Sponsor:

SIGMM

IH&MMSec '13: ACM Information Hiding and Multimedia Security Workshop

June 17 - 19, 2013

Montpellier, France

Acceptance Rates

IH&MMSec '13 Paper Acceptance Rate 27 of 74 submissions, 36%;

Overall Acceptance Rate 128 of 318 submissions, 40%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
129
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 08 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Söllinger DKirchgasser SUhl AMakushin ADittmann J(2023)Protocol Based Similarity Evaluation of Publicly Available Synthetic and Real Fingerprint Datasets2023 IEEE International Joint Conference on Biometrics (IJCB)10.1109/IJCB57857.2023.10448569(1-9)Online publication date: 25-Sep-2023
https://doi.org/10.1109/IJCB57857.2023.10448569
Kirchgasser SKauba CUhl A(2021)Assessment of Synthetically Generated Mated Samples from Single Fingerprint Samples Instances2021 IEEE International Workshop on Information Forensics and Security (WIFS)10.1109/WIFS53200.2021.9648394(1-6)Online publication date: 7-Dec-2021
https://doi.org/10.1109/WIFS53200.2021.9648394
Kirchgasser SUhl A(2017)Template ageing in non-minutiae fingerprint recognition2017 5th International Workshop on Biometrics and Forensics (IWBF)10.1109/IWBF.2017.7935091(1-6)Online publication date: Apr-2017
https://doi.org/10.1109/IWBF.2017.7935091
Kauba CUhl A(2017)Fingerprint recognition under the influence of image sensor ageingIET Biometrics10.1049/iet-bmt.2016.01066:4(245-255)Online publication date: 23-Jan-2017
https://doi.org/10.1049/iet-bmt.2016.0106
Kirchgasser SUhl A(2016)Biometric Menagerie in Time-Span Separated Fingerprint Data2016 International Conference of the Biometrics Special Interest Group (BIOSIG)10.1109/BIOSIG.2016.7736913(1-7)Online publication date: Sep-2016
https://doi.org/10.1109/BIOSIG.2016.7736913
Kauba CUhl A(2015)Robustness Evaluation of Hand Vein Recognition Systems2015 International Conference of the Biometrics Special Interest Group (BIOSIG)10.1109/BIOSIG.2015.7314619(1-5)Online publication date: Sep-2015
https://doi.org/10.1109/BIOSIG.2015.7314619
Herzog TUhl A(2015)JPEG Optimisation for Fingerprint Recognition: Generalisation Potential of an Evolutionary Approach2015 International Conference of the Biometrics Special Interest Group (BIOSIG)10.1109/BIOSIG.2015.7314610(1-6)Online publication date: Sep-2015
https://doi.org/10.1109/BIOSIG.2015.7314610
Hammerle-Uhl JPober MUhl A(2014)Systematic evaluation methodology for fingerprint-image quality assessment techniques2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)10.1109/MIPRO.2014.6859771(1315-1319)Online publication date: May-2014
https://doi.org/10.1109/MIPRO.2014.6859771
Hammerle-Uhl JPober MUhl A(2014)General purpose bivariate quality-metrics for fingerprint-image assessment revisited2014 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2014.7026004(4957-4961)Online publication date: Oct-2014
https://doi.org/10.1109/ICIP.2014.7026004
Hämmerle-Uhl JPober MUhl A(2013)Towards a Standardised Testsuite to Assess Fingerprint Matching Robustness: The StirMark Toolkit – Cross-Feature Type ComparisonsCommunications and Multimedia Security10.1007/978-3-642-40779-6_1(3-17)Online publication date: 2013
https://doi.org/10.1007/978-3-642-40779-6_1

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Fingerprint Matching Using Global Minutiae and Invariant Moments

Direct Pore Matching for Fingerprint Recognition

Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations