Discrimination Between Digits and Outliers in Handwritten Documents Applied to the Extraction of Numerical Fields

Clément Chatelain; Laurent Heutte; Thierry Paquet

inria-00103696, version 1

Discrimination Between Digits and Outliers in Handwritten Documents Applied to the Extraction of Numerical Fields

Clément Chatelain () ¹, Laurent Heutte () ¹, Thierry Paquet () ¹

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: In this article, we propose a numerical field extraction system from unconstrained handwritten documents. The system is based on a segmentation driven by recognition stage followed by a syntactical analysis which detects the sequences that may compose a numerical field. We focus here on the design of a digit classifier embedded in the segmentation/ recognition process able to discriminate digits from outliers such as words, fragment of words, noise, etc. For that, we have developed a light classifier used as prior to a standard digit classifier in order to reject “obvious outliers”. Several classifiers have been compared in terms of ROC curve and processing time.

1: Perception, Systèmes, Information (PSI)
CNRS : FRE2645 – Université de Rouen – Institut National des Sciences Appliquées (INSA) - Rouen

inria-00103696, version 1
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Submitted on: Thursday, 5 October 2006 10:18:17
Updated on: Thursday, 5 October 2006 11:32:21

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