This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it into characters using geometric features and apply character recognition. The final step is to select the most plausible interpretation by evaluating the likelihood composed of character segmentation, character recognition, character pattern structure and context. The method can cope with a mixture of vertical, horizontal and skewed text lines with arbitrary character orientations. It is expected useful for tablet PC's, interactive electronic whiteboards and so on.
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Motoki ONUMA, Akihito KITADAI, Bilan ZHU, Masaki NAKAGAWA, "An On-line Handwritten Japanese Text Recognition System Free from Line Direction and Character Orientation Constraints" in IEICE TRANSACTIONS on Information,
vol. E88-D, no. 8, pp. 1823-1830, August 2005, doi: 10.1093/ietisy/e88-d.8.1823.
Abstract: This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it into characters using geometric features and apply character recognition. The final step is to select the most plausible interpretation by evaluating the likelihood composed of character segmentation, character recognition, character pattern structure and context. The method can cope with a mixture of vertical, horizontal and skewed text lines with arbitrary character orientations. It is expected useful for tablet PC's, interactive electronic whiteboards and so on.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.8.1823/_p
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@ARTICLE{e88-d_8_1823,
author={Motoki ONUMA, Akihito KITADAI, Bilan ZHU, Masaki NAKAGAWA, },
journal={IEICE TRANSACTIONS on Information},
title={An On-line Handwritten Japanese Text Recognition System Free from Line Direction and Character Orientation Constraints},
year={2005},
volume={E88-D},
number={8},
pages={1823-1830},
abstract={This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it into characters using geometric features and apply character recognition. The final step is to select the most plausible interpretation by evaluating the likelihood composed of character segmentation, character recognition, character pattern structure and context. The method can cope with a mixture of vertical, horizontal and skewed text lines with arbitrary character orientations. It is expected useful for tablet PC's, interactive electronic whiteboards and so on.},
keywords={},
doi={10.1093/ietisy/e88-d.8.1823},
ISSN={},
month={August},}
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TY - JOUR
TI - An On-line Handwritten Japanese Text Recognition System Free from Line Direction and Character Orientation Constraints
T2 - IEICE TRANSACTIONS on Information
SP - 1823
EP - 1830
AU - Motoki ONUMA
AU - Akihito KITADAI
AU - Bilan ZHU
AU - Masaki NAKAGAWA
PY - 2005
DO - 10.1093/ietisy/e88-d.8.1823
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 8
JA - IEICE TRANSACTIONS on Information
Y1 - August 2005
AB - This paper describes an on-line handwritten Japanese text recognition system that is liberated from constraints on line direction and character orientation. The recognition system first separates freely written text into text line elements, second estimates the line direction and character orientation using the time sequence information of pen-tip coordinates, third hypothetically segment it into characters using geometric features and apply character recognition. The final step is to select the most plausible interpretation by evaluating the likelihood composed of character segmentation, character recognition, character pattern structure and context. The method can cope with a mixture of vertical, horizontal and skewed text lines with arbitrary character orientations. It is expected useful for tablet PC's, interactive electronic whiteboards and so on.
ER -