A Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System

Yuechan HAO; Bilan ZHU; Masaki NAKAGAWA

doi:10.1587/transinf.2015EDP7131

A Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System

Yuechan HAO, Bilan ZHU, Masaki NAKAGAWA

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This paper describes a significantly improved recognition system for on-line handwritten Japanese text free from line direction and character orientation constraints. The recognition system separates handwritten text of arbitrary character orientation and line direction into text line elements, estimates and normalizes character orientation and line direction, applies two-stage over-segmentation, constructs a segmentation-recognition candidate lattice and evaluates the likelihood of candidate segmentation-recognition paths by combining the scores of character recognition, geometric features and linguistic context. Enhancements over previous systems are made in line segmentation, over-segmentation and context integration model. The results of experiments on text from the HANDS-Kondate_t_bf-2001-11 database demonstrate significant improvements in the character recognition rate compared with the previous systems. Its recognition rate on text of arbitrary character orientation and line direction is now comparable with that possible on horizontal text with normal character orientation. Moreover, its recognition speed and memory requirement do not limit the platforms or applications that employ the recognition system.

Publication: IEICE TRANSACTIONS on Information Vol.E99-D No.1 pp.197-207

Publication Date: 2016/01/01

Publicized: 2015/10/01

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2015EDP7131

Type of Manuscript: PAPER

Category: Pattern Recognition

Authors

Yuechan HAO
  Tokyo University of Agriculture and Technology
Bilan ZHU
  Tokyo University of Agriculture and Technology
Masaki NAKAGAWA
  Tokyo University of Agriculture and Technology

Keyword

on-line recognition, character recognition, text recognition, handwriting recognition, writing constraints

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Yuechan HAO, Bilan ZHU, Masaki NAKAGAWA, "A Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System" in IEICE TRANSACTIONS on Information, vol. E99-D, no. 1, pp. 197-207, January 2016, doi: 10.1587/transinf.2015EDP7131.
Abstract: This paper describes a significantly improved recognition system for on-line handwritten Japanese text free from line direction and character orientation constraints. The recognition system separates handwritten text of arbitrary character orientation and line direction into text line elements, estimates and normalizes character orientation and line direction, applies two-stage over-segmentation, constructs a segmentation-recognition candidate lattice and evaluates the likelihood of candidate segmentation-recognition paths by combining the scores of character recognition, geometric features and linguistic context. Enhancements over previous systems are made in line segmentation, over-segmentation and context integration model. The results of experiments on text from the HANDS-Kondate_t_bf-2001-11 database demonstrate significant improvements in the character recognition rate compared with the previous systems. Its recognition rate on text of arbitrary character orientation and line direction is now comparable with that possible on horizontal text with normal character orientation. Moreover, its recognition speed and memory requirement do not limit the platforms or applications that employ the recognition system.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDP7131/_p

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@ARTICLE{e99-d_1_197,
author={Yuechan HAO, Bilan ZHU, Masaki NAKAGAWA, },
journal={IEICE TRANSACTIONS on Information},
title={A Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System},
year={2016},
volume={E99-D},
number={1},
pages={197-207},
abstract={This paper describes a significantly improved recognition system for on-line handwritten Japanese text free from line direction and character orientation constraints. The recognition system separates handwritten text of arbitrary character orientation and line direction into text line elements, estimates and normalizes character orientation and line direction, applies two-stage over-segmentation, constructs a segmentation-recognition candidate lattice and evaluates the likelihood of candidate segmentation-recognition paths by combining the scores of character recognition, geometric features and linguistic context. Enhancements over previous systems are made in line segmentation, over-segmentation and context integration model. The results of experiments on text from the HANDS-Kondate_t_bf-2001-11 database demonstrate significant improvements in the character recognition rate compared with the previous systems. Its recognition rate on text of arbitrary character orientation and line direction is now comparable with that possible on horizontal text with normal character orientation. Moreover, its recognition speed and memory requirement do not limit the platforms or applications that employ the recognition system.},
keywords={},
doi={10.1587/transinf.2015EDP7131},
ISSN={1745-1361},
month={January},}

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TY - JOUR
TI - A Line-Direction-Free and Character-Orientation-Free On-Line Handwritten Japanese Text Recognition System
T2 - IEICE TRANSACTIONS on Information
SP - 197
EP - 207
AU - Yuechan HAO
AU - Bilan ZHU
AU - Masaki NAKAGAWA
PY - 2016
DO - 10.1587/transinf.2015EDP7131
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2016
AB - This paper describes a significantly improved recognition system for on-line handwritten Japanese text free from line direction and character orientation constraints. The recognition system separates handwritten text of arbitrary character orientation and line direction into text line elements, estimates and normalizes character orientation and line direction, applies two-stage over-segmentation, constructs a segmentation-recognition candidate lattice and evaluates the likelihood of candidate segmentation-recognition paths by combining the scores of character recognition, geometric features and linguistic context. Enhancements over previous systems are made in line segmentation, over-segmentation and context integration model. The results of experiments on text from the HANDS-Kondate_t_bf-2001-11 database demonstrate significant improvements in the character recognition rate compared with the previous systems. Its recognition rate on text of arbitrary character orientation and line direction is now comparable with that possible on horizontal text with normal character orientation. Moreover, its recognition speed and memory requirement do not limit the platforms or applications that employ the recognition system.
ER -