Cross-Sensor Iris Matching using Patch-based Hybrid Dictionary Learning

Bo-Ren Zheng, Dai-Yan Ji, Yung-Hui Li

2014

Abstract

Recently, more and more new iris acquisition devices appear on the market. In practical situation, it is highly possible that the iris images for training and testing are acquired by different iris image sensors. In that case, the recognition rate will decrease a lot and become much worse than the one when both sets of images are acquired by the same image sensors. Such issue is called “cross-sensor iris matching”. In this paper, we propose a novel iris image hallucination method using a patch-based hybrid dictionary learning scheme which is able to hallucinate iris images across different sensors. Thus, given an iris image in test stage which is acquired by a new image sensor, a corresponding iris image will be hallucinated which looks as if it is captured by the old image sensor used in training stage. By matching training images with hallucinated images, the recognition rate can be enhanced. The experimental results show that the proposed method is better than the baseline, which proves the effectiveness of the proposed image hallucination method.

References

  1. K. W. Bowyer, 2008, K. Hollingsworth, and P. J. Flynn, Image understanding for iris biometrics: A survey, Computer Vision and Image Understanding, vol.110, no.2, pp. 281-307.
  2. K. Bowyer, S. Baker, A. Hentz, K. Hollingsworth, T. Peters, and P. Flynn, 2009, Factors that degrade the match distribution in iris biometrics, Identity in the information Society, vol.2, no.3, pp. 327-343.
  3. R. Connaughton, A. Sgroi, K. W. Bowyer, and P. J. Flynn, 2011, A cross-sensor evaluation of three commercial iris cameras for iris biometrics, IEEE Computer Society Workshop on Biometrics, pp. 90-97.
  4. Pillai, M. Puertas, and R. Chellappa, 2014, "Cross-sensor Iris Recognition through Kernel Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, no. 1, pp. 73-85.
  5. K. Q. Weinberger, F. Sha, and L. K. Saul, 2004, Learning a kernel Matrix for nonlinear dimensionality reduction, International Conference on Machine learning, pp.839-846.
  6. Y. Li, M. Savvides, and V. Bhagavatula, 2006, Illumination Tolerant Face Recognition Using a Novel Face From Sketch Synthesis Approach and Advanced Correlation Filters, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings, vol.2, no., pp. II, II, 14-19.
  7. Y. Li and M. Savvides, 2006, Faces from sketches: a subspace synthesis approach, Defense and Security Symposium. International Society for Optics and Photonics.
  8. J. Matey, O. Naroditsky, K. Hanna, R. Kolczynski, D. LoIacono, S. Mangru, M. tinker, T.Zappia, and W. Zhao, 2006, Iris on the move: Acquisition of images for iris recognition in less constrained environments, Proceedings of the IEEE, vol. 94, no.11, pp. 1936- 1947.
  9. G. Davis, S. Mallat, and M. Avellaneda, Adaptive Greedy Approximations, Constructive Approximation, vol. 13, no. 1, pp.57-98, 1997.
  10. Y. Pati, R. Rezaiifar, and P. Krihnaprassad, Orthogonal Matching Pursuit: Recursive Function Approximation with Applications to Wavelet Decomposition, Conference Record of The Twenty-Seventh Asilomar Conference on Signals, Systems and Computers, pp. 40-44, 1993.
Download


Paper Citation


in Harvard Style

Zheng B., Ji D. and Li Y. (2014). Cross-Sensor Iris Matching using Patch-based Hybrid Dictionary Learning . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-028-4, pages 169-174. DOI: 10.5220/0004868401690174


in Bibtex Style

@conference{iceis14,
author={Bo-Ren Zheng and Dai-Yan Ji and Yung-Hui Li},
title={Cross-Sensor Iris Matching using Patch-based Hybrid Dictionary Learning},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2014},
pages={169-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004868401690174},
isbn={978-989-758-028-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Cross-Sensor Iris Matching using Patch-based Hybrid Dictionary Learning
SN - 978-989-758-028-4
AU - Zheng B.
AU - Ji D.
AU - Li Y.
PY - 2014
SP - 169
EP - 174
DO - 10.5220/0004868401690174