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Bernoulli HMMs at subword level for handwritten word recognition

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Bernoulli HMMs at subword level for handwritten word recognition

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Giménez Pastor, A.; Juan, A. (2009). Bernoulli HMMs at subword level for handwritten word recognition. En Pattern Recognition and Image Analysis. Springer Verlag (Germany). 497-504. doi:10.1007/978-3-642-02172-5_64

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/51259

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Title: Bernoulli HMMs at subword level for handwritten word recognition
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
This paper presents a handwritten word recogniser based on HMMs at subword level (characters) in which state-emission probabilities are governed by multivariate Bernoulli probability functions. This recogniser works directly ...[+]
Subjects: HMM , Subword , Bernoulli , Handwritten word recognition
Copyrigths: Reserva de todos los derechos
Source:
Pattern Recognition and Image Analysis. (issn: 0302-9743 )
DOI: 10.1007/978-3-642-02172-5_64
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007%2F978-3-642-02172-5_64
Series: Lecture Notes in Computer Science;5524
Type: Capítulo de libro

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