Skip to main content
Log in

Improved low-contrast retinal recognition using compression-based joint wavelet transform correlator

  • Published:
Optical Memory and Neural Networks Aims and scope Submit manuscript

Abstract

Retinal recognition by using compression-based joint wavelet transform correlator (CBJWTC) is proposed in order to solve poor contrast problem of fundus images. The simulation results show that by using a wavelet filter dilated at a proper dilation, the CBJWTC offers better recognition performance than the conventional JTC, regardless of the reference contrast.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Yu, F.T.S., Jutamulia, S., Lin, T.W., and Gregory, D.A., Adaptive real-time pattern recognition using a liquid crystal TV based joint transform correlator, Appl. Opt., 1987, vol. 26, pp. 1370–1372.

    Article  Google Scholar 

  2. Jutamulia, S., Joint transform correlator, in Encyclopedia of Optical Engineering, Driggers, R.G., Ed., N.Y.: Marcel Dekker, 2003, pp. 984–989.

    Google Scholar 

  3. Widjaja, J., Detection performance of wavelet-based joint transform correlation, Appl. Opt., 2007, vol. 46, pp. 8278–8283.

    Article  Google Scholar 

  4. Leonard, I., Alfalou, A., Alam, M.S., Arnold-Bos, A., Adaptive nonlinear fringe-adjusted joint transform correlator, Opt. Eng., 2012, vol. 51, no. 9, p. 098201.

    Article  Google Scholar 

  5. Widjaja, J. and Suripon, U., Real-time joint transform correlator by using compressed reference images, Opt. Eng., 2004, vol. 43, pp. 1737–1745.

    Article  Google Scholar 

  6. Widjaja, J. and Suripon, U., Experimental verifications of joint transform correlator using compressed reference images, Appl. Opt., 2006, vol. 45, pp. 8074–8082.

    Article  Google Scholar 

  7. Widjaja, J. and Suripon, U., Retina recognition using compression-based joint transform correlator, Opt. Eng., 2011, vol. 50, p. 098201.

    Article  Google Scholar 

  8. Hill, R.B., Retina identification, in Biometrics: Personal Identification in Networked Society, Jain, A.K., Bolle, R., Pankanti, S, Eds., N.Y.: Springer, 1999, pp. 123–141.

    Chapter  Google Scholar 

  9. Jain, A.K., Ross, A., and S. Prabhakar, An introduction to biometric recognition, IEEE Trans. Circuits Systems Video Tech., 2004, vol. 14, pp. 4–20.

    Article  Google Scholar 

  10. Basu, A., Kamal, A.D., Illahi, W., Khan, M., Stavrou, P., and Ryder, R.E.J., Is digital image compression acceptable within diabetic retinopathy screening?, Diabetic Med., 2003, vol. 20, pp. 766–771.

    Article  Google Scholar 

  11. Conrath, J., Erginay, A., Giorgi, R., Lecleire-Collet, A., Vicau, E., Kelin, J.-C., Gaudric, A., and Massin, P., Evaluation of the effect of JPEG and JPEG2000 image compression on the detection of diabetic retinopathy, Eye, 2007, vol. 21, pp. 487–493.

    Google Scholar 

  12. Hoover, A., Kouznetsova, V., and Goldbaum, M., Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response, IEEE Trans. Med. Imag., 2000, vol. 19, pp. 203–210.

    Article  Google Scholar 

  13. Saine, P.J., Focusing the fundus camera: A clinical approach, J. Opthalmic Photogr., 1992, vol. 14, pp. 7–24.

    Google Scholar 

  14. Bhalerao, A., Anand, S., and Saravanan, P., Retinal fundus image contrast normalization using mixture of Gaussians, 42nd Asilomar Conference on Signals, Systems and Computers, 2008, pp. 647–650.

    Chapter  Google Scholar 

  15. Pennebaker, W.B. and Mitchell, J.L., JPEG Still Image Data Compression Standard, N.Y.: Van Nostrand Reinhold, 1993.

    Google Scholar 

  16. Mallat, S.G., A Wavelet Tour of Signal Processing, 2nd Ed., San Diego: Academic Press, 1999.

    MATH  Google Scholar 

  17. Roberge, D. and Sheng, Y., Optical wavelet matched filter, Appl. Opt., 1994, vol. 33, pp. 5287–5293.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joewono Widjaja.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Widjaja, J. Improved low-contrast retinal recognition using compression-based joint wavelet transform correlator. Opt. Mem. Neural Networks 23, 43–49 (2014). https://doi.org/10.3103/S1060992X14020052

Download citation

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1060992X14020052

Keywords

Navigation