Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods-Reference-Cited by-同舟云学术

Character-Position-Free On-Line Handwritten Japanese Text Recognition by Two Segmentation Methods

Published:2016 Issue:4 Volume:E99.D Page:1172-1181
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

LIANG Jianjuan¹,ZHU Bilan¹,KUMAGAI Taro²,NAKAGAWA Masaki¹

Affiliation:

1. Department of Computer and Information Sciences, Tokyo University of Agriculture and Technology

2. Automotive Electronics Development Center, Mitsubishi Electric Corporation

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/4/E99.D_2015EDP7479/_pdf

Reference20 articles.

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2. [2] C.C. Tappert, C.Y. Suen and T. Wakahara, “The state of the art in on-line handwriting recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol.12, no.8, pp.787-808, Aug. 1990.

3. [3] C.-L. Liu, S. Jaeger and M. Nakagawa, “Online recognition of Chinese characters: the state-of-the-art,” IEEE Trans. Pattern Anal. Mach. Intell., vol.26, no.2, pp.198-213, Feb. 2004.

4. [4] B. Zhu and M. Nakagawa, “Recent trends in online handwrit-ten character recognition,” IEICE Trans. Inf. & Syst. (Japanese Edition), vol.J95-D, no.4, pp.335-340, April 2012.

5. [5] H. Murase, T. Wakahara, and M. Umeda, “Online writing-box free character string recognition by candidate character lattice method,” IEICE Trans. Inf. & Syst. (Japanese Edition), vol.J68-D, no.4, pp.765-772, April 1985.

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