NDLI: A Semi-incremental Recognition Method for On-Line Handwritten English Text

Content Provider	IEEE Xplore Digital Library
Author	Cuong Tuan Nguyen Bilan Zhu Nakagawa, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Tokyo Univ. of Agric. & Technol., Koganei, Japan (Cuong Tuan Nguyen; Bilan Zhu; Nakagawa, M.)
Abstract	This paper presents a semi-incremental recognition method for online handwritten English text. We employ local processing strategy and focus on a recent sequence of strokes defined as "scope". For the latest scope, we build and update a segmentation and recognition candidate lattice and advance the best-path search incrementally. We utilize the result of the best-path search in the previous scope to exclude unnecessary segmentation candidates. This reduces the number of candidate word recognition with the result of reduced processing time. We also reuse the segmentation and recognition candidate lattice in the previous scope for the latest scope. Moreover, triggering recognition processes every few strokes save CPU time. Experiment made on IAM-OnDB database shows the effectiveness of the proposed method not only in reduced processing time and waiting time, but also in recognition accuracy.
Starting Page	234
Ending Page	239
File Size	1045340
Page Count	6
File Format	PDF
ISBN	9781479943357
ISSN	21676445
e-ISBN	9781479943340
DOI	10.1109/ICFHR.2014.47
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Text recognition Abstracts Lattices Tin batch recognition Online handwriting recognition English text recognition incremental recognition
Content Type	Text
Resource Type	Article

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