An HMM implementation for on-line handwriting recognition based on pen-coordinate feature and pen-direction feature

Daiki Okumura, Seiichi Uchida, Hiroaki Sakoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

An on-line handwritten character recognition technique based on a new HMM is proposed. In the proposed HMM, not only pen-direction feature but also pen-coordinate feature are separately utilized for describing the shape variation of on-line characters accurately. Specifically speaking, the proposed HMM outputs a pen-coordinate feature at each inter-state transition and outputs a pen-direction feature at each intra-state transition, i.e., self-transition. Thus, each state of the proposed HMM can specify the starting position and the direction of a line segment by its incoming inter-state transition and intra-state transition, respectively. The results of recognition experiments on 10-stroke Chinese characters show that the proposed HMM outperforms the conventional HMM which does not use the pen-coordinate feature because of its non-stationarity.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Document Analysis and Recognition
Pages26-30
Number of pages5
DOIs
Publication statusPublished - Dec 1 2005
Event8th International Conference on Document Analysis and Recognition - Seoul, Korea, Republic of
Duration: Aug 31 2005Sep 1 2005

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume2005
ISSN (Print)1520-5363

Other

Other8th International Conference on Document Analysis and Recognition
CountryKorea, Republic of
CitySeoul
Period8/31/059/1/05

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Okumura, D., Uchida, S., & Sakoe, H. (2005). An HMM implementation for on-line handwriting recognition based on pen-coordinate feature and pen-direction feature. In Proceedings of the Eighth International Conference on Document Analysis and Recognition (pp. 26-30). [1575504] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2005). https://doi.org/10.1109/ICDAR.2005.50