Please use this identifier to cite or link to this item:
|Title:||The A2iA-telecom paristech-UOB system for the ICDAR 2009 handwriting recognition competition||Authors:||Kermorvant, Christopher
Hajj Mohamad, Ramy Al
|Affiliations:||Department of Electrical Engineering||Keywords:||Hidden Markov models
Artificial Neural Network (ANN)
|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|
Show full item record
checked on Nov 28, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.