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.
Similar content being viewed by others
References
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.
Jutamulia, S., Joint transform correlator, in Encyclopedia of Optical Engineering, Driggers, R.G., Ed., N.Y.: Marcel Dekker, 2003, pp. 984–989.
Widjaja, J., Detection performance of wavelet-based joint transform correlation, Appl. Opt., 2007, vol. 46, pp. 8278–8283.
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.
Widjaja, J. and Suripon, U., Real-time joint transform correlator by using compressed reference images, Opt. Eng., 2004, vol. 43, pp. 1737–1745.
Widjaja, J. and Suripon, U., Experimental verifications of joint transform correlator using compressed reference images, Appl. Opt., 2006, vol. 45, pp. 8074–8082.
Widjaja, J. and Suripon, U., Retina recognition using compression-based joint transform correlator, Opt. Eng., 2011, vol. 50, p. 098201.
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.
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.
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.
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.
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.
Saine, P.J., Focusing the fundus camera: A clinical approach, J. Opthalmic Photogr., 1992, vol. 14, pp. 7–24.
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.
Pennebaker, W.B. and Mitchell, J.L., JPEG Still Image Data Compression Standard, N.Y.: Van Nostrand Reinhold, 1993.
Mallat, S.G., A Wavelet Tour of Signal Processing, 2nd Ed., San Diego: Academic Press, 1999.
Roberge, D. and Sheng, Y., Optical wavelet matched filter, Appl. Opt., 1994, vol. 33, pp. 5287–5293.
Author information
Authors and Affiliations
Corresponding author
About this article
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
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1060992X14020052