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Publicaciones de nuestros investigadores

A.M. Awal, T. Neitthoffer, N. Ghanmi. Data augmentation vs. PyraD-DCNN: a Fast, Light, and Shift Invariant FCNN for Text RecognitionIn: Barney Smith E.H., Pal U. (eds) Document Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science, 2021, vol 12917. Springer, Cham., doi : 10.1007/978-3-030-86159-9_3

 

N. Ghanmi, C. Nabli, A.M. Awal. CheckSim: a reference-based identity document verification by image similarity measureDocument Analysis and Recognition – ICDAR 2021 Workshops. ICDAR 2021. Lecture Notes in Computer Science, 2021, vol 12916. Springer, Cham., doi : 10.1007/978-3-030-86198-8_30

 

G. Chiron, F. Arrestier, A.M. Awal,  Fast End-to-end Deep Learning Identity Document Detection, Classification and CroppingIn: Lladós J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition – ICDAR 2021, Lecture Notes in Computer Science, 2021, vol 12824. Springer, Cham., doi: 10.1007/978-3-030-86337-1_23

 

G. Chiron, N. Ghanmi, A.M. Awal, ID Documents Matching and Localization with Multi-Hypothesis Constraints, 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 3644-3651, doi: 10.1109/ICPR48806.2021.9412437.

 

J. Jouanne, Q. Dauchy, A.M. Awal, PyraD-DCNN: a Fully Convolutional Neural Network for signal to sequence modeling, application on Offline Text Recognition systems, International Workshop on Computational Aspects of Deep Learning (CADL2020)2021, doi:10.1007/978-3-030-68763-2_49

 

N. Ghanmi, A.M. Awal. A New Descriptor for Pattern Matching: Application to Identity Document Verification. 13th IAPR International Workshop on Document Analysis Systems (DAS), Vienna, Austria, 2018, pp. 375-380, doi: 10.1109/DAS.2018.74.

 

F. Chevalier, S. Ferré. Entering the digital customer onboarding Era: How the Semantic Web Can Help. International Semantic Web Conference (ISWC), Vienna, Austria, 2017.

 

M. Awal, N. Ghanmi, R. Sicre, T. Furon. Complex Document Classification and Localization: Application on Identity Document Images14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017, pp. 426-431, doi: 10.1109/ICDAR.2017.77

 

N. Ghanmi, A.M. Awal, Dynamic Bayesian Networks for Handwritten Arabic Word Recognition1st International Workshop on Arabic Script Analysis and Recognition (ASAR), 2017, pp. 104-108, doi: 10.1109/ASAR.2017.8067769.

 

F. Chevalier. AutoRDF – Using OWL as an Object Graph Mapping (OGM) Specification Language. In: Sack H., Rizzo G., Steinmetz N., Mladenić D., Auer S., Lange C. (eds) The Semantic Web. ESWC 2016. Lecture Notes in Computer Science2016, vol 9989. Springer, Cham. doi: 10.1007/978-3-319-47602-5_30

 

R. Sicre, A. M. Awal, T. Furron.Identity Documents Classification as an Image Classification ProblemICIAP 2017 – 19th International Conference on Image Analysis and Processing, Sep 2017, Catania, Italy. pp.602-613, doi: 10.1007/978-3-319-68548-9_55

 

M. Awal, A. Almaksour. Classification et extraction des documents complexes à partir des images issues d’un périphérique mobile : Application aux documents d’identité, Colloque International Francophone sur l’Ecrit et le Document, 2016, pp. 575-588.

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