Location of Pupil Contour by Hough Transform of Connectivity Components

Ivan Matveev, Nikolay Chinaev, Vladimir Novik

2015

Abstract

A method for determining the pupil boundary in the image of eye is proposed. The method is based on image binarization followed by a search of the pupil as one of the connectivity components. The pupil boundary is determined as a part of boundary of the connectivity component. Hough transform is used for separating pupil in the case of its merging in one connectivity component with other objects, as well as to verify the likelihood of solution.

References

  1. Bowyer, K., Hollingsworth, K., and Flynn, P. (2008). Image understanding for iris biometrics: a survey. Computer Vision and Image Understanding, 110(2):281 307.
  2. Bresenham, J. (1996). Pixel-processing fundamentals. IEEE Comput Graphics Appl, 16(1):74-82.
  3. Chen, D., Bai, J., and Qu, Z. (2012). Research on pupil center location based on improved hough transform and edge gradient algorithm. Proc. National Conf. Information Technology and Computer Science, page 47 51.
  4. Chinese Academy of Sciences Institute of Automation (2005). Iris image database, version 3.
  5. Daugman, J. (2007). New methods in iris recognition. IEEE Trans. Systems, Man and Cybernatics-Part B: Cybernatics, 37:1167 1175.
  6. Glassner, A. S. (1990). Graphics Gems. Academic Press, Inc., Orlando, FL, USA.
  7. Hough, P. (1959). Machine analysis of bubble chamber pictures. Conf.Proc., C590914:554-558.
  8. Ma, L., Tan, T., Wang, Y., and Zhang, D. (2004). Local intensity variation analysis for iris recognition. Pattern Recognition, 37(6):1287-1298.
  9. Ma, L., Wang, Y., and Tan, T. (2002). Iris recognition using circular symmetric filters. Proc. 16th Int. Conf. Pattern Recognition, 1(2):414 -417.
  10. Masek, L. (2003). Recognition of human iris patterns for biometric identification. http:// www.csse.uwa.edu.au/ pk/ studentprojects/ libor.
  11. Matveev, I. A. (2010). Detection of iris in image by interrelated maxima of brightness gradient projections. Applied and Computational Mathematics, 9(2):252 - 257.
  12. Matveev, I. A. (2012). Iris center location using hough transform with two-dimensional parameter space. Journal of Computer and Systems Sciences International, 51(6):785 - 791.
  13. Mohammed, G., Hong, B., and Jarjes, A. (2010). Accurate pupil features extraction based on new projection function. Computing and Informatics, 29:663 - 680.
  14. Monro, D. M., Rakshit, S., and Zhang, D. (2005). Universtiy of bath, u.k. iris image database.
  15. Multimedia University (2006). Mmu iris image database.
  16. Pan, L., Chu, W., Saragih, J., and de la Torre, F. (2011). Fast and robust circular object detection with probabilistic pairwise voting. Signal Processing Letters, 18(11):639-642.
  17. Phillips, P., Scruggs, W., and et al., O. A. (2010). Frvt2006 and ice2006 large-scale experimental results. IEEE PAMI, 5(32):831-846.
  18. Ritter, N. J. and Cooper, J. R. (2003). Locating the iris: A first step to registration and identification. Proc. 9th IASTED Int. Conf. Signal and Image Processing, pages 507-512.
Download


Paper Citation


in Harvard Style

Matveev I., Chinaev N. and Novik V. (2015). Location of Pupil Contour by Hough Transform of Connectivity Components . In Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015) ISBN 978-989-758-094-9, pages 14-21. DOI: 10.5220/0005456100140021


in Bibtex Style

@conference{imta-515,
author={Ivan Matveev and Nikolay Chinaev and Vladimir Novik},
title={Location of Pupil Contour by Hough Transform of Connectivity Components},
booktitle={Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)},
year={2015},
pages={14-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005456100140021},
isbn={978-989-758-094-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Workshop on Image Mining. Theory and Applications - Volume 1: IMTA-5, (VISIGRAPP 2015)
TI - Location of Pupil Contour by Hough Transform of Connectivity Components
SN - 978-989-758-094-9
AU - Matveev I.
AU - Chinaev N.
AU - Novik V.
PY - 2015
SP - 14
EP - 21
DO - 10.5220/0005456100140021