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Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform
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Character Recognition, Orientation, and Scale Estimation Thanks to the Fourier Mellin Transform
Sébastien Adam8, 10, Jean Marc. Ogier8 , Claude Cariou9 , Rémy Mullot8, Joël Gardes10 and Jacques Labiche8
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Laboratory PSI, University of Rouen, 76 821 Mont Saint Aignan, France |
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LASTI, ENSSAT Lannion, 6, rue Kerampont, BP 447, 22305 Lannion, France |
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France Télécom, DVSI DES/MBL, 6, Avenue des Usines, 90 007 Belfort, France |
Abstract
In this paper, we consider the general problem of technical document interpretation, applied to the documents of the French
Telephonic Operator, France Telecom. More precisely, we focus the content of this paper on the computation of a new set of
features allowing the classification of multi-oriented and multi-scaled patterns. This set of Invariant is based on the Fourier
Mellin Transform. The interests of this computation rely on the possibility to use this Fourier Mellin transform within a
“filtering mode”, that permits to solve the well known difficult problem of connected character recognition. In this paper,
we also present an original technique allowing to compute an estimation of the orientation of each shape to be recognized.
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