feature fusion

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• Published Subscription 15 May 2019

  Cascade CNN Framework for Low Resolution Image Classification

  By Suresh Prasad Kannojia, Gaurav Jaiswal

  Abstract: Abstract: Low resolution images contain less visual information, so classifications of these images are difficult. For overcoming this problem, cascade CNN framework for low resolution image classification is proposed. In this framework, super resolution CNN (SRCNN) enlarges low resolution image into super resolution image. The convolutional features of these super resolution images are fused with low resolution convolutional features which are extracted by low resolution CNN (LRCNN) feature extractor. A …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 39–43 Read article →

• Published Subscription 9 Jul 2015

  Pair of Retina Recognition System Using Hopfield Neural Network Algorithm

  By Md. Rabiul Islam, Md. Fayzur rahman

  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 …

  Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 41–45 Read article →