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Detection of Structural Concavities in Character Images—A Writer-Independent Approach

Identifieur interne : 000399 ( Istex/Corpus ); précédent : 000398; suivant : 000400

Detection of Structural Concavities in Character Images—A Writer-Independent Approach

Auteurs : Soumen Bag ; Partha Bhowmick ; Gaurav Harit

Source :

RBID : ISTEX:3518B80FA628221E1605619F68F29183537E30A8

Abstract

Abstract: In this paper, we present a novel technique for detection of concave regions as a structural information of character images. The problem difficulty lies in reporting all concavities irrespective of the viewing direction on the 2D plane. In our approach, we detect concave regions by analyzing the sequence of discrete turns taken to describe the character stroke; hence, it becomes view-invariant. The proposed method has the added advantage of detecting same concave regions of a particular character written by different individuals. We have tested our method on printed and handwritten Bangla and Hindi isolated character images. Initial results demonstrate the efficacy of our approach.

Url:
DOI: 10.1007/978-3-642-27387-2_33

Links to Exploration step

ISTEX:3518B80FA628221E1605619F68F29183537E30A8

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<Para>In this paper, we present a novel technique for detection of concave regions as a structural information of character images. The problem difficulty lies in reporting all concavities irrespective of the viewing direction on the 2D plane. In our approach, we detect concave regions by analyzing the sequence of discrete turns taken to describe the character stroke; hence, it becomes view-invariant. The proposed method has the added advantage of detecting same concave regions of a particular character written by different individuals. We have tested our method on printed and handwritten Bangla and Hindi isolated character images. Initial results demonstrate the efficacy of our approach.</Para>
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