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

Content Provider	IEEE Xplore Digital Library
Author	Okumura, D. Uchida, S. Sakoe, H.
Copyright Year	2005
Description	Author affiliation: Graduate Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka, Japan (Okumura, D.; Uchida, S.; Sakoe, H.)
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.
Starting Page	26
Ending Page	30
File Size	509437
Page Count	5
File Format	PDF
ISBN	0769524206
ISSN	15205263
DOI	10.1109/ICDAR.2005.50
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-31
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Handwriting recognition Character recognition Proposals Topology Information science Shape Solid modeling Deformable models Tellurium
Content Type	Text
Resource Type	Article

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