Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/380
Title: The A2iA-Telecom ParisTech-UOB System for the ICDAR 2009 Handwriting Recognition Competition
Authors: Kermorvant, Christopher
Menasri, Fares
Bianne-Bernard, Anne-Laure
Hajj Mohamad, Ramy Al
Mokbel, Chafic 
Likforman-Sulem, Laurence
Affiliations: Department of Electrical Engineering 
Keywords: Hidden Markov models
Artificial Neural Network (ANN)
Handwriting recognition
Feature extraction
Context modeling
Subjects: Training
Databases
Issue Date: 2011
Publisher: IEEE
Part of: 2010 12th International Conference on Frontiers in Handwriting Recognition
Start page: 247
End page: 252
Conference: International Conference on Frontiers in Handwriting Recognition (12th : 16-18 Nov 2010 : Kolkata, India) 
Abstract: 
This article describes the isolated word recognizer presented by the authors to the ICDAR 2009 French handwriting recognition competition. The system is a combination of three isolated word recognizers based on different features and models. A novel n-best combination method is proposed and compared to standard combination methods. New results on the ICDAR 2009 test database are reported.
URI: https://scholarhub.balamand.edu.lb/handle/uob/380
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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