Skip to main content

Retinal Feature Extraction with the Influence of Its Diseases on the Results

  • Chapter
  • First Online:
Applied Computation and Security Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 304))

  • 509 Accesses

Abstract

A new algorithm on retinal characteristics extraction is introduced in this paper. The important thing about its novelty is that it considers and treats eyes with anomalies. The background of both medical and computer science matters is given. The algorithm aims at giving a clear evidence whether the retina should be considered as a biometric feature in human recognition for people with sick eyes. The structure of the worked out algorithm is illustrated in detail. Examples of how the minutiae are extracted from the processed retina are presented. The algorithm details together with its different stages, and their computer implementation will be given in the extended version of the work.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Villalobos-Castaldi, M., Felipe-Riverón, E.M.,: Fast automatic retinal vessel segmentation and vascular landmarks extraction method for biometric applications. In: IEEE International Conference on Biometrics, Identity and Security (2009)

    Google Scholar 

  2. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., Goldbaum, M.: Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Trans. Med. Imaging 8(3), 263–269 (1989)

    Google Scholar 

  3. Chanwimaluang, T., Fan, G.: An efficient blood vessel detection algorithm for retinal images using local entropy thresholding. In: Proceedings of the 2003 International Symposium on Circuits and Systems, vol. 5, pp. 21–24 (2003)

    Google Scholar 

  4. HongQing, Z.: Segmentation of blood vessels in retinal images using 2-D entropies of gray level-gradient co-occurrence matrix. In: ICASSP (2004)

    Google Scholar 

  5. Saeed, K., Rybnik, M., Tabedzki, M.: Implementation and advanced results on the non-interrupted skeletonization algorithm. In: Skarbek, W. (ed.) Computer Analysis of Images and Patterns, Lecture Notes in Computer Science, vol. 2124, Springer, Heidelberg, pp. 601–609 (2001)

    Google Scholar 

  6. Saeed, K., Rybnik, M., Tabedzki, M., Adamski, M.: K3M: a universal algorithm for image skeletonization and review of thinning techniques. Int. J. Appl. Math. Comput. Sci. 20(2), 317–335 (2010)

    MATH  Google Scholar 

  7. Sinthanayothin, C., Boyce, J.F., Cook, H.L., Williamson, T.H.: Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images. Br. J. Ophthalmol. 83(8), 902–910 (1999)

    Google Scholar 

Download references

Acknowledgments

The research was partially supported by Grant No. WFiIS 11.11.220.01/saeed, AGH University of Science and Technology in Krakow.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Anna Bartocha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer India

About this chapter

Cite this chapter

Bartocha, A., Saeed, E., Wachulec, P., Saeed, K. (2015). Retinal Feature Extraction with the Influence of Its Diseases on the Results. In: Chaki, R., Saeed, K., Choudhury, S., Chaki, N. (eds) Applied Computation and Security Systems. Advances in Intelligent Systems and Computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_3

Download citation

  • DOI: https://doi.org/10.1007/978-81-322-1985-9_3

  • Published:

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1984-2

  • Online ISBN: 978-81-322-1985-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics