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Improving offline handwritten text recognition with hybrid HMM/ANN models

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Improving offline handwritten text recognition with hybrid HMM/ANN models

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España Boquera, S.; Castro-Bleda, MJ.; Gorbe Moya, J.; Zamora Martínez, FJ. (2011). Improving offline handwritten text recognition with hybrid HMM/ANN models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(4):767-779. doi:10.1109/TPAMI.2010.141

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/36005

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Title: Improving offline handwritten text recognition with hybrid HMM/ANN models
Author: España Boquera, Salvador Castro-Bleda, Maria Jose Gorbe Moya, Jorge Zamora Martínez, Francisco Julián
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Abstract:
This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled ...[+]
Subjects: Handwriting recognition , HMM , Hybrid HMM/ANN , Image normalization. , Multilayer perceptron , Neural networks , Offline handwriting , Image normalization , Electric loads , Feedforward neural networks , Hidden Markov models , Multilayer neural networks , Multilayers , Optical multilayers , Pattern recognition systems , Character recognition
Copyrigths: Cerrado
Source:
IEEE Transactions on Pattern Analysis and Machine Intelligence. (issn: 0162-8828 )
DOI: 10.1109/TPAMI.2010.141
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.141
Thanks:
The authors acknowledge the valuable help provided by Moises Pastor, Juan Miguel Vilar, Alex Graves, and Marcus Liwicki. Thanks are also due to the reviewers and the Editor-in-Chief for their many valuable comments and ...[+]
Type: Artículo

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