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Conference papers
Statistical Language Models for On-line Handwritten Sentence Recognition
Abstract : This paper investigates the integration of a statistical language model into an on-line recognition system in order to improve word recognition in the context of handwritten sentences. Two kinds of models have been considered: n-gram and n-class models (with a statistical approach to create word classes). All these models are trained over the Susanne corpus and experiments are carried out on sentences from this corpus which were written by several writers. The use of a statistical language model is shown to improve the word recognition rate and the relative impact of the different language models is compared. Furthermore, we illustrate the interest to define an optimal cooperation between the language model and the recognition system to re-enforce the accuracy of the system.
Keywords :
handwriting recognition
language modeling
Cited literature [14 references]
https://hal.archives-ouvertes.fr/hal-00580641
Contributor : Solen Quiniou <>
Submitted on : Monday, March 28, 2011 - 6:34:01 PM
Last modification on : Thursday, February 7, 2019 - 4:47:55 PM
Document(s) archivé(s) le : Wednesday, June 29, 2011 - 2:32:52 AM
Contributor : Solen Quiniou <>
Submitted on : Monday, March 28, 2011 - 6:34:01 PM
Last modification on : Thursday, February 7, 2019 - 4:47:55 PM
Document(s) archivé(s) le : Wednesday, June 29, 2011 - 2:32:52 AM
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quiniou05statistical.pdf
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