- -

Bernoulli HMMs at subword level for handwritten word recognition

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Bernoulli HMMs at subword level for handwritten word recognition

Show full item record

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

Files in this item

Item Metadata

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

References

Giménez-Pastor, A., Juan-Císcar, A.: Bernoulli HMMs for Off-line Handwriting Recognition. In: Proc. of the 8th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2008), Barcelona, Spain, pp. 86–91 (June 2008)

Günter, S., Bunke, H.: HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components. Pattern Recognition 37, 2069–2079 (2004)

Gadea, M.P.: Aportaciones al reconocimiento automático de texto manuscrito. PhD thesis, Dep. de Sistemes Informàtics i Computació, València, Spain. Advisors: Vidal, E., Tosselli, A.H. (October 2007) [+]
Giménez-Pastor, A., Juan-Císcar, A.: Bernoulli HMMs for Off-line Handwriting Recognition. In: Proc. of the 8th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2008), Barcelona, Spain, pp. 86–91 (June 2008)

Günter, S., Bunke, H.: HMM-based handwritten word recognition: on the optimization of the number of states, training iterations and Gaussian components. Pattern Recognition 37, 2069–2079 (2004)

Gadea, M.P.: Aportaciones al reconocimiento automático de texto manuscrito. PhD thesis, Dep. de Sistemes Informàtics i Computació, València, Spain. Advisors: Vidal, E., Tosselli, A.H. (October 2007)

Juan, A., Vidal, E.: Bernoulli mixture models for binary images. In: Proc. of the 17th Int. Conf. on Pattern Recognition (ICPR 2004), Cambridge, UK, vol. 3 (August 2004)

Marti, U.V., Bunke, H.: The IAM-database: an English sentence database for offline handwriting recognition.  5(1), 39–46 (2002)

Rabiner, L., Juang, B.-H.: Fundamentals of speech recognition. Prentice-Hall, Englewood Cliffs (1993)

Romero, V., Giménez, A., Juan, A.: Explicit Modelling of Invariances in Bernoulli Mixtures for Binary Images. In: Martí, J., Benedí, J.M., Mendonça, A.M., Serrat, J. (eds.) IbPRIA 2007. LNCS (LNAI), vol. 4477, pp. 539–546. Springer, Heidelberg (2007)

Young, S., et al.: The HTK Book. Cambridge University Engineering Department (1995)

[-]

This item appears in the following Collection(s)

Show full item record