Pair of Retina Recognition System Using Hopfield Neural Network Algorithm

Authors

  • Md. Rabiul Islam Dept. of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh
  • Md. Fayzur Rahman Dept. of Computer Science & Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

DOI:

https://doi.org/10.37591/joipprp.v2i2.442

Keywords:

Pair of retina recognition system, feature fusion, dimensionality reduction, hopfield neural network algorithm

Abstract

process of pair of retina recognition system using feature fusion method has been proposed in this paper. Left and right retinal images of human have been used for the inputs of this retinal recognition system. Wavelet based retinal image pre-processing technique has been applied to process the retina images. After extracting the features from the left and right retinal images, features are concatenated using feature fusion technique. Principal Component Analysis based dimensionality reduction technique has been applied to reduce the dimension of the combined feature vector. Finally, Hopfield neural network algorithm has been used for classification. DRIVE retinal database has been used for the performance measurements of the proposed pair of retina recognition system.

Cite this Article
Md. Rabiul Islam, Md. Fayzur Rahman Pair of Retina Recognition System Using Hopfield Neural Network Algorithm. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(2): 41–45p.

References

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Published

2015-07-09

Issue

Vol. 2 No. 2 (2015)

Section

Research Articles

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