Retina Recognition System Using Wavelet based Neural Network Algorithm

Autores/as

  • Dr. Md. Rabiul Islam Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.

Palabras clave:

Retina Recognition, Wavelet based Feature Extraction, Retinal Vessel Segmentation, Back-Propagation Neural Network, Local Minima Problem

Resumen

This paper presents an approach of wavelet feature-based retina recognition system using back-propagation learning neural network algorithm. After acquiring the retinal image, at first vessels were segmented from the image. Then the feature extraction was carried out by analyzing the segmented retinal image using multiresolution analysis through the wavelet-based approach. Then extracted features were fed to the back-propagation learning neural network algorithm to create the learned template which was used for mapping with the unknown retina image. Digital Retinal Images for Vessel Extraction (DRIVE) retinal dataset has been used to measure the performance of the proposed system.   Keywords: retina recognition, wavelet-based feature extraction, retinal vessel segmentation, back-propagation neural network, local minima problem Cite this Article Islam R. Retina Recognition System Using Wavelet Based Neural Network Algorithm. Current Trends in Signal Processing. 2015; 5(2): 35–39p.

Biografía del autor/a

  • Dr. Md. Rabiul Islam, Associate Professor Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi-6204, Bangladesh.
    Associate ProfessorDept. of Computer Science & EngineeringRajshahi University of Engineering & Technology, Rajshahi-6204, Bangladesh.

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Publicado

2015-08-02

Número

Vol. 5 Núm. 2 (2015)

Sección

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