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has been cited by the following article:

• TITLE: Extraction of Arabic Handwriting Fields by Forms Matching

  AUTHORS: Ameur Bensefia

  KEYWORDS: Handwriting Document Analysis, Binarization, Zones of Interest Extraction, Fourier-Mellin Transform

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.6 No.1, January 21, 2015

  ABSTRACT: Filling forms is one of the most useful and powerful ways to collect information from people in business, education and many other domains. Nowadays, almost everything is computerized. That creates a curtail need for extracting these handwritings from the forms in order to get them into the computer systems and databases. In this paper, we propose an original method that will extract handwritings from two types of forms; bank and administrative form. Our system will take as input any of the two forms already filled. And according to some statistical measures our system will identify the form. The second step is to subtract the filled form from a previously inserted empty form. In order to make the acting easier and faster a Fourier-Melin transform was used to re-orient the forms correctly. This method has been evaluated with 50 handwriting forms (from both types Bank and University) and the results were approximatively 90%.