Use of semantic and physical constraints in Bayesian Networks for Form Recognition

Emilie Philippot 1 Yolande Belaïd 1 Abdel Belaïd 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In our previous research, we worked on on-line form recognition by exploiting semantic constraints between fields using Bayesian networks. The semantic constraints allowed us to check the co-existence of fields filled up by hand by users. In this paper, we propose to test the use of architectural constraints for a design problem related to the modelling of shower areas. The proposed method exploits the physical dependencies between different parts of a space shower. The tests are performed on a database composed of 500 forms representing 5 models. The first results reach a recognition rate of 96.7%.
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Communication dans un congrès
11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.946-950, 2011, 〈10.1109/ICDAR.2011.192〉
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Soumis le : mercredi 5 octobre 2011 - 15:58:03
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
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Emilie Philippot, Yolande Belaïd, Abdel Belaïd. Use of semantic and physical constraints in Bayesian Networks for Form Recognition. 11th International Conference on Document Analysis and Recognition - ICDAR 2011, Sep 2011, Beijing, China. IEEE Computer Society, pp.946-950, 2011, 〈10.1109/ICDAR.2011.192〉. 〈inria-00629334〉

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