Publications

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[430] Chen S, Beghdadi A, Cheriet M. "Degraded Color Document Image Enhancement Based on NRCIR.". In: The second European Workshop on Visual Information Processing EUVIP.; 2010.
[Cheriet2012] Cheriet M, Farrahi Moghaddam R. "A Robust Word Spotting System for Historical Arabic Manuscripts." In: Märgner V, El Abed H, eds. Guide to OCR for Arabic Scripts. Springer; 2012:. Download: wordspotting1.pdf (9.78 MB)
[400] Cheriet M. "Extraction of Handwritten Data From Noisy Gray-Level Images Using A Multi-Scale Approach.". In: M. Cheriet and Y.H. Yang (Eds.). Vol. 35. World Scientific; 1999:. Series In Machine Perception & Artificial Intelligence 35.
[Cheriet2008] Cheriet M, Farrahi Moghaddam R. "Low Quality Image Processing for DIAR. Issues and Directions.". In: EUSIPCO'08. Lausanne, Switzerland; 2008. Download: cheriet2008.pdf (484.56 KB)
[371] Cheriet M, Joseph SN, Suen CY. "A recursive thresholding technique for image segmentation." IEEE Transactions on Image Processing 7(6): 918-921. 1998.
[401] Cheriet M, Said JN, Suen CY. "Un modèle formel pour le traitement de données visuelles sur des formulaires d’affaires et documents manuscrits.". In: Les techniques de l’I.A. appliquées aux technologies de l’information. Cahiers Scientifiques de l’ACFAS; 1997:. R. Lepage and R. Noumeir (Eds).
[398] Cheriet M, Srihari SN. Proceedings. Vol. 1. Niagara-on-the-lake, Canada; 2002.
[Cheriet2008a] Cheriet M, Farrahi Moghaddam R. "Degradation Modeling and Enhancement of Low Quality documents.". In: WOSPA'2008. Sharjah, UAE, Invited paper; 2008.
[395] Cheriet M, Dudek G. Proceedings, Vision Interface. Vol. 1. Montréal, Canada: Montr; 2000.
[484] Cheriet M. "Strategies for Visual Arabic Handwriting Recognition. Issues and Case Study.". In: IEEE Int. Conference on Signal Processing and Applications Invited Paper. Sharjah (UAE); 2007.
[433] Cheriet M, Farrahi Moghaddam R. "DIAR: Advances in Degradation Modeling and Processing.". In: International Conference on Image Analysis and Recognition, Keynote Talk. Povoa de Varzim; 2008.
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