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HMM word graph based keyword spotting in handwritten document images

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HMM word graph based keyword spotting in handwritten document images

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Toselli, AH.; Vidal, E.; Romero, V.; Frinken, V. (2016). HMM word graph based keyword spotting in handwritten document images. Information Sciences. 370:497-518. https://doi.org/10.1016/j.ins.2016.07.063

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Title: HMM word graph based keyword spotting in handwritten document images
Author: Toselli, Alejandro Héctor Vidal, Enrique Romero, Verónica Frinken, Volkmar
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Abstract:
[EN] Line-level keyword spotting (KWS) is presented on the basis of frame-level word posterior probabilities. These posteriors are obtained using word graphs derived from the recogni- tion process of a full-fledged ...[+]
Subjects: Keyword spotting , Handwritten text recognition , Word graph , Posterior probability , Confidence score
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Information Sciences. (issn: 0020-0255 )
DOI: 10.1016/j.ins.2016.07.063
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ins.2016.07.063
Project ID: info:eu-repo/grantAgreement/EC/H2020/674943/EU
Thanks:
This work has been partially supported by the Generalitat Valenciana under the Prometeo/2009/014 project grant ALMA-MATER, and through the EU projects: HIMANIS (JPICH programme, Spanish grant Ref. PCIN-2015-068) and READ ...[+]
Type: Artículo

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