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Pattern Recognition
Volume 26, Issue 1, January 1993, Pages 89-94
 
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doi:10.1016/0031-3203(93)90090-J    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1993 Published by Elsevier Science B.V.

On the application of geometrical form description techniques to automatic key-section recognition

G. M. Cortelazzoa, G. Derettaa, G. A. Miana, Corresponding Author Contact Information and P. Zamperonib

a Dipartimento di Elettronica e Informatica, Via Gradenigo 6/A, 35131, Padova, Italy b Institut für Nachrichtentechnik, Technische Universität, 3300, Braunschweig, F.R.G.

Received 30 December 1991; 
revised 26 May 1992; 
accepted 3 June 1992. ;
Available online 19 May 2003.

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Abstract

Automatic key-section recognition is approached by a two-step procedure, the first step of which is a screening based on arc/straight segment classification aimed to associate to each key-section a morphological pattern; the second step measures the string distances by means of non-linear elastic matching among the key-sections possessing the same morphological description. Arc/straight segment classification, a typical geometrical form description problem, is studied by two techniques, one based on Euclidean geometry notions and the other based on discrete geometry. The results achieved by the second technique appear superior, and the performance of the recognition procedure on key-section databases of practical significance is very satisfactory.

Author Keywords: Computer vision; Digital geometry; Shape recognition; String matching

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Pattern Recognition
Volume 26, Issue 1, January 1993, Pages 89-94
 
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