Embedded Bernoulli Mixture HMMs for Continuous Handwritten Text Recognition

Adrià Giménez; Alfons Juan

doi:10.1007/978-3-642-03767-2_24

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Embedded Bernoulli Mixture HMMs for Continuous Handwritten Text Recognition

Adrià Giménez Alfons Juan

Year: 2009 Lecture notes in computer science Pages: 197-204 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-03767-2_24

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Keywords:

Computer science Hidden Markov model Discriminative model Pattern recognition (psychology) Artificial intelligence Mixture model Speech recognition Feature (linguistics) Bernoulli's principle Feature extraction Gaussian

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Handwritten Text Recognition Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Embedded Bernoulli Mixture HMMs for Continuous Handwritten Text Recognition

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