Extraction of handwritten areas from colored image of bank checks by an hybrid method

One of the first step in the realization of an automatic system of check recognition is the extraction of the handwritten area. We propose in this paper an hybrid method to extract these areas. This method is based on digit recognition by Fourier descriptors and different steps of colored image processing . It requires the bank recognition of its code which is located in the check marking band as well as the handwritten color recognition by the method of difference of histograms. The areas extraction is then carried out by the use of some mathematical morphology tools.

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Source https://hal.science/hal-00079243
Author Haboubi, Sofiene, Maddouri, Samia
Maintainer CCSD
Last Updated May 14, 2026, 06:23 (UTC)
Created May 14, 2026, 06:23 (UTC)
Identifier hal-00079243
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire des Systèmes et du Traitement du Signal [ENIT] (LSTS) ; National Engineering School of Tunis [Tunis El Manar University] = École Nationale d'Ingénieurs de Tunis [Université de Tunis – El Manar] (ENIT) ; Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar) (UTM)-Tunis El Manar University [University of Tunis El Manar] [Tunisia] = Université de Tunis El Manar [Tunisie] = جامعة تونس المنار (ar) (UTM)
creator Haboubi, Sofiene
date 2005-05-14T00:00:00
harvest_object_id 6e3bcee4-7bcd-40b7-ace7-ee9070beb101
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-07-15T00:00:00
set_spec type:UNDEFINED