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Modeling of Pen-Coordinate Information in SCPR-based HMM for On-line Recognition of Handwritten Japanese Characters

Abstract : This paper describes stochastic modeling of pencoordinate information in HMMs with structured character pattern representation (SCPR) for on-line recognition of handwritten Japanese characters. SCPR allows HMMs for Kanji character patterns to share common subpatterns. Although SCPR-based HMMs have been successfully applied to Kanji character recognition, the pen-coordinate feature has not been modeled since it is an unique feature for each character pattern. In this paper, we employ mapping from a common subpattern to each occurrence in Kanji patterns in the estimation step of SCPR-based HMMs. We also employ adaptation of state parameters to each character pattern in generating character HMMs by composing SCPR-based HMMs. Experimental results showed that the correct recognition rate improved from 83.6% to 92.3% for Japanese Kanji character patterns by modeling the pen-coordinate information in the SCPRbased HMMs.
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https://hal.inria.fr/inria-00104839
Contributor : Anne Jaigu <>
Submitted on : Monday, October 9, 2006 - 3:08:03 PM
Last modification on : Wednesday, February 10, 2021 - 1:12:01 PM
Long-term archiving on: : Tuesday, April 6, 2010 - 7:02:57 PM

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  • HAL Id : inria-00104839, version 1

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Junko Tokuno, Yiping Yang, Gleidson Pegoretti da Silva, Akihito Kitadai, Masaki Nakagawa. Modeling of Pen-Coordinate Information in SCPR-based HMM for On-line Recognition of Handwritten Japanese Characters. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00104839⟩

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