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Matching of graphical symbols in line-drawing images using angular signature information
Authors:Email author" target="_blank">S?TabboneEmail author  L?Wendling  K?Tombre
Affiliation:(1) LORIA, B.P. 239, 54506 Vandoeuvre-lès-Nancy Cedex, France
Abstract:In this paper, a method for matching complex objects in line-drawings is presented. Our approach is based on the notion of $\mathcal{F}$ -signatures, which are a special kind of histogram of forces 17,19,28]. Such histograms have low time complexity and describe signatures that are invariant to fundamental geometrical transformations such as scaling, translation, symmetry, and rotation. This article presents a new application of this notion in the field of symbol identification and recognition. To improve the efficiency of matching, we propose using an approximation of the $\mathcal{F}$ -signature from Fourier series and the associated matching.Received: 7 October 2002, Accepted: 1 December 2002, Published online: 4 July 2003
Keywords::" target="_blank">:                   $\mathcal{F}$ -signatures" target="_blank">gif" alt="$\mathcal{F}$" align="middle" border="0"> -signatures  Fourier series  Symbol recognition  Graphics recognition
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