Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods
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- LIANG Jianjuan
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
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- ZHU Bilan
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
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- KUMAGAI Taro
- Automotive Electronics Development Center, Mitsubishi Electric Corporation
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- NAKAGAWA Masaki
- Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology
Abstract
The paper presents a recognition method of character-position-free on-line handwritten Japanese text patterns to allow a user to overlay characters freely without confirming previously written characters. To develop this method, we first collected text patterns written without wrist or elbow support and without visual feedback and then prepared large sets of character-position-free handwritten Japanese text patterns artificially from normally handwritten text patterns. The proposed method sets each off-stroke between real strokes as undecided and evaluates the segmentation probability by SVM model. Then, the optimal segmentation-recognition path can be effectively found by Viterbi search in the candidate lattice, combining the scores of character recognition, geometric features, linguistic context, as well as the segmentation scores by SVM classification. We test this method on variously overlaid sample patterns, as well as on the above-mentioned collected handwritten patterns, and verify that its recognition rates match those of the latest recognizer for normally handwritten horizontal Japanese text with no serious speed restriction in practical applications.
Journal
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E99.D (4), 1172-1181, 2016
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390282679354294016
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- NII Article ID
- 130005141384
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- ISSN
- 17451361
- 09168532
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed