Title: Performance measures of diseases affected iris images using sigmoidal multilayer feed forward neural network

Authors: S.G. Gino Sophia; V. Ceronmani Sharmila

Addresses: Hindustan Institute of Technology and Science, Chennai, India ' Hindustan Institute of Technology and Science, Chennai, India

Abstract: Iris is a scarce natural password used for human identification with reliability and security. The iris is affected by the number of diseases, so it leads to affects the iris recognition process. So study and analyse the types of diseases affecting the eye images. The localisation of an iris is to perform using edge detection with the parameters of neighbours of a pixel and the structuring element of the morphological technique. The iris images are trained by the neural networks and analysing the regression and performance graphs. Compare the various diseases affected iris and normal images using the periodogram power spectral density of MATLAB.

Keywords: enhancement; histogram; localisation; neighbours of a pixel; neural networks; regression; normalisation.

DOI: 10.1504/IJAIP.2024.138571

International Journal of Advanced Intelligence Paradigms, 2024 Vol.27 No.3/4, pp.330 - 346

Received: 28 Mar 2018
Accepted: 02 Jun 2018
Published online: 13 May 2024 *

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