A System for an automatic reading of student information sheets

Afef Kacem 1 Asma Saïdani 1 Abdel Belaïd 2
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we present a student information sheet reading system. Relevant algorithm is proposed to locate and label handwritten answer field. As information sheets can be filled in Arabic and/or in French, automating the script language differentiation is a pre-recognition required in the proposed system. We have developed a robust and fast field classification and script language identification method, based on a decision tree, to make these processing practical for sheet recognition. To this end, the system uses several novel features (loops, descenders, diacritics) and analyses the lower profile of script. The classification rates are 92.5% for numeric fields, 94.34% for Arabic scripts and 94.66% for French scripts. Experimental results, carried on 80 sheets, show our system provides an effective way to convert printed sheets into computerized format or collect information for database from printed sheets.
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Communication dans un congrès
11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Bejing, China. IEEE Computer Society, pp.1265-1269, 2011, 〈10.1109/ICDAR.2011.255〉
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Dernière modification le : mardi 24 avril 2018 - 13:37:36
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Afef Kacem, Asma Saïdani, Abdel Belaïd. A System for an automatic reading of student information sheets. 11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Bejing, China. IEEE Computer Society, pp.1265-1269, 2011, 〈10.1109/ICDAR.2011.255〉. 〈inria-00635376〉

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