Diabetic Retinopathy Recognition System Based On GLDM Features And Feed-Forward Neural Network Classifier.

Entesar B. Talal, Department of Computer Sciences,College of Education for Pure Sciences,University of Basrah, IraqFollow
Eman Thabet, Department of Computer Sciences,College of Education for Pure Sciences,University of Basrah, IraqFollow

Document Type

Article

Abstract

Detection and recognition of DR at the early phase can prevent the risk of gradual damage in the retina and vision loss. Many works have been introduced for automatic DR recognition and diagnosis in recent years. To date, there are still some issues that are required to work on to improve the quality and the performance of automatic DR recognition systems. Therefore, this paper introduces a machine learning based approach for DR diagnosis and recognition by proposing texture analysis features of GLDM technique and feed-forward neural network classifier. The proposed method has achieved a recognition accuracy of 95% according to undertaken experiments and performance analysis.

Keywords

Retinopathy recognition; Retina Images; feed-forward neural network; GLDM; texture features.

Recommended Citation

Talal, Entesar B. and Thabet, Eman (2022) "Diabetic Retinopathy Recognition System Based On GLDM Features And Feed-Forward Neural Network Classifier.," Al-Qadisiyah Journal of Pure Science: Vol. 27 : No. 1 , Article 20.
Available at: https://doi.org/10.29350/qjps.2022.27.1.1449