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Journal ArticleDOI

An improved contour-based thinning method for character images

TLDR
A contour-based thinning method used for performing skeletonization of printed noisy isolated character images by using shape characteristics of text to get skeleton of nearly same as the true character shape.
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This article is published in Pattern Recognition Letters.The article was published on 2011-10-01. It has received 27 citations till now. The article focuses on the topics: Topological skeleton & Skeletonization.

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Citations
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Journal ArticleDOI

Skeletonization Algorithm for Binary Images

TL;DR: A new skeletonization algorithm is proposed which is combining between parallel and sequential which categorized under iterative approach and obtaining much better results comparing with other thinning methods.
Journal ArticleDOI

Recognition of Bangla compound characters using structural decomposition

TL;DR: The novelty of the approach lies in the formulation of appropriate rules of character decomposition for segmenting the character skeleton into stroke segments and then grouping them for extraction of meaningful shape components.
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Handwritten Hindi character recognition: a review

TL;DR: The main focus of this study is detailed survey of existing techniques for recognition of offline handwritten Hindi characters starting from database to various phases of character recognition.
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An optimization for binarization methods by removing binary artifacts

TL;DR: A novel technique to remove binary artifacts that detects and remove connected components that are more likely to be background pixels in a gray-intensity image and its corresponding binary image and, then, computes the ratio of intersection.
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Experimental Approach for Performance Analysis of Thinning Algorithms for Offline Handwritten Devnagri Numerals

TL;DR: Experimental approach for performance analysis of different thinning algorithms for offline handwritten devnagri numeral script on multiparameter scale aims at providing parametric strength of differentthinning algorithms.
References
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Journal ArticleDOI

A fast parallel algorithm for thinning digital patterns

TL;DR: A fast parallel thinning algorithm that consists of two subiterations: one aimed at deleting the south-east boundary points and the north-west corner points while the other one is aimed at deletion thenorth-west boundarypoints and theSouth-east corner points.
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Thinning methodologies-a comprehensive survey

TL;DR: A comprehensive survey of thinning methodologies, including iterative deletion of pixels and nonpixel-based methods, is presented and the relationships among them are explored.
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A survey of methods and strategies in character segmentation

TL;DR: H holistic approaches that avoid segmentation by recognizing entire character strings as units are described, including methods that partition the input image into subimages, which are then classified.
Journal ArticleDOI

An improved parallel thinning algorithm

TL;DR: An iterative thinning algorithm reduces a two-dimensional pattern of strokes to its skeleton by removing layers of edge elements until each stroke has unit thickness, indicating an improvement of over 40 percent.
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