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

•Noisy low-contrast retinal recognition using CBJWTC is studied via Matlab simulation.•Retinal target with different noise levels and reference images are JPEG-compressed.•Low frequency contents of JPS are enhanced by appropriately dilated wavelet filter.•Simulation results show that the recognition performance is robust to noise.•The recognition is independent upon compression qualities of the retinal images.

A new method is proposed for recognizing noise corrupted low-contrast retinal images that employs joint wavelet transform correlator with compressed reference and target. Noise robustness is achieved by correlating wavelet-transformed retinal target and reference images. Simulation results show that besides being robust to noise, its recognition performance can become independent upon compression qualities when low spatial-frequency components of joint power spectrum are enhanced by appropriately dilated wavelet filter.