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Sep 26, 2017 · In this article, we have proposed an effective binarization method towards text segmentation in digital images. This method produces a number of ...
In this article, we have proposed an effective binarization method towards text segmentation in digital images. This method produces a number of connected ...
In this article, we have proposed an effective binarization method towards text segmentation in digital images. This method produces a number of connected ...
K-NN Based Text Segmentation from Digital Images Using a New Binarization Scheme. R Ghoshal, S Das, A Saha. Computational Intelligence, Communications, and ...
The goal of this article is to design an effective scheme for extraction of Bangla/Devnagari text from outdoor images. We first segment a color image using ...
Unlike existing binarization methods, our technique can handle documents with multi-colored texts with different background shades. The method is applicable to ...
Document image binarization is a challenging task, especially when it comes to text segmentation in degraded document images.
Missing: Scheme. | Show results with:Scheme.
Jul 24, 2017 · I am currently exploring the idea of using a CNN and a K-NN(K-Nearest Neighbour) in conjunction with each other.
Missing: Text Segmentation Digital Binarization
In this paper, we propose a new method for text detection in born-digital images by introducing a mass estimation concept. We propose to explore super-pixel ...
In this study we tested k-nearest neighbor method combined with genetic algorithm (k-NN), artificial neural network (ANN), 2-dimensional convolutional neural ...
Missing: Binarization Scheme.