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Communication Dans Un Congrès Année : 2011

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

Emilie Philippot
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Yolande Belaïd
Abdel Belaïd
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Résumé

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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Dates et versions

inria-00629334 , version 1 (05-10-2011)

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Citer

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, International Association for Pattern Recognition, Sep 2011, Beijing, China. pp.946-950, ⟨10.1109/ICDAR.2011.192⟩. ⟨inria-00629334⟩
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