A NOVEL SIMILARITY METRIC FOR RETINAL IMAGES BASED AUTHENTICATION

M. Ortega, M. G. Penedo, C. Mariño, M. J. Carreira

Abstract

In biometrics the identity of an individual is verified using some physiologic or behavioural feature. In a typical authentication process involving some biometric trait, the biometric pattern for the user is extracted (a set of feature landmarks, a characteristic vector etc...). A similarity score is calculated between these patterns to determine if they belong to the same individual or not. This work presents an analysis of similarity metrics for an authentication system in which retinal vessel feature points are used as biometric pattern. The VARIA database of retinal images is used. A new metric is defined weighting the matched points information with the previously defined metrics. The obtained results show a large stretchment of the confidence gap between the matching scores of patterns from the same individual and the matching scores of patterns from different ones.

References

  1. Jain, A., Hong, L., Pankanti, S., and Bolle, R. (1997). An identity authentication system using fingerprints. Proceedings of the IEEE, 85(9).
  2. J.Bigüin, C.Chollet, and G.Borgefors, editors (1997). Proceedings of the 1st.International Conference on Audio- and Video-Based Biometric Person Authentication, Crans-Montana,Switzerland.
  3. Marin˜o, C., Penedo, M. G., Penas, M., Carreira, M. J., and González, F. (2006). Personal authentication using digital retinal images. Pattern Analysis and Applications, 9:21-33.
  4. N. Ryan, C. H. and de Chazal, P. (2004). Registration of digital retinal images using landmark correspondence by expectation maximization. Image and Vision Computing, 22:883-898.
  5. Ortega, M., Marin˜o, C., Penedo, M. G., Blanco, M., and González, F. (2006). Personal authentication based on feature extraction and optical nerve location in digital retinal images. WSEAS Transactions on Computers, 5(6):1169-1176.
  6. Tico, M. and Kuosmanen, P. (2003). Fingerprint matching using an orientation-based minutia descriptor. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(8):1009-1014.
  7. Zhao, W., Chellappa, R., Rosenfeld, A., and Phillips, P. (2000). Face recognition: A literature survey. Technical report, National Institute of Standards and Technology.
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Paper Citation


in Harvard Style

Ortega M., Penedo M., Mariño C. and Carreira M. (2009). A NOVEL SIMILARITY METRIC FOR RETINAL IMAGES BASED AUTHENTICATION . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009) ISBN 978-989-8111-65-4, pages 249-253. DOI: 10.5220/0001510602490253


in Bibtex Style

@conference{biosignals09,
author={M. Ortega and M. G. Penedo and C. Mariño and M. J. Carreira},
title={A NOVEL SIMILARITY METRIC FOR RETINAL IMAGES BASED AUTHENTICATION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)},
year={2009},
pages={249-253},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001510602490253},
isbn={978-989-8111-65-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2009)
TI - A NOVEL SIMILARITY METRIC FOR RETINAL IMAGES BASED AUTHENTICATION
SN - 978-989-8111-65-4
AU - Ortega M.
AU - Penedo M.
AU - Mariño C.
AU - Carreira M.
PY - 2009
SP - 249
EP - 253
DO - 10.5220/0001510602490253