Extraction of Arabic Handwriting Fields by Forms Matching

Ameur Bensefia

College of Computer and Information Sciences, Al-Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia.

DOI: 10.4236/jsip.2015.61001                

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%.

Keywords

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

Conflicts of Interest

The authors declare no conflicts of interest.

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