Present State of Recognition Method on Consideration of Neighbor Points and Its Ability in Common Database
Summary :
Among various characters invented by the human being ,Kanji (Chinese character) is outstanding in its diversity and complexity, in contrast to Roman alphanumerics. So machine recognition of handwritten characters requires particular technics. This paper concerns commercially available optical character readers (OCRs) and the recognition techniques using therein. Methods of character recognition is classified the pattern types and the method of extracting features, to discuss the present states of the character recognition. In regard to the structural analysis, the proposed techniques are classified and discussed in accordance with the extraction method of line segment and axial correlation. Finally, various techniques are compared with one another by using a common database, so as to understand the present states of character recognition and to discuss the technical trends.
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- IEICE TRANSACTIONS on Information Vol.E79-D No.5 pp.417-422
- Publication Date
- 1996/05/25
- Publicized
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- Type of Manuscript
- Special Section INVITED PAPER (Special Issue on Character Recognition and Document Understanding)
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Kazuhiko YAMAMOTO, "Present State of Recognition Method on Consideration of Neighbor Points and Its Ability in Common Database" in IEICE TRANSACTIONS on Information,
vol. E79-D, no. 5, pp. 417-422, May 1996, doi: .
Abstract: Among various characters invented by the human being ,Kanji (Chinese character) is outstanding in its diversity and complexity, in contrast to Roman alphanumerics. So machine recognition of handwritten characters requires particular technics. This paper concerns commercially available optical character readers (OCRs) and the recognition techniques using therein. Methods of character recognition is classified the pattern types and the method of extracting features, to discuss the present states of the character recognition. In regard to the structural analysis, the proposed techniques are classified and discussed in accordance with the extraction method of line segment and axial correlation. Finally, various techniques are compared with one another by using a common database, so as to understand the present states of character recognition and to discuss the technical trends.
URL: https://global.ieice.org/en_transactions/information/10.1587/e79-d_5_417/_p
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@ARTICLE{e79-d_5_417,
author={Kazuhiko YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Present State of Recognition Method on Consideration of Neighbor Points and Its Ability in Common Database},
year={1996},
volume={E79-D},
number={5},
pages={417-422},
abstract={Among various characters invented by the human being ,Kanji (Chinese character) is outstanding in its diversity and complexity, in contrast to Roman alphanumerics. So machine recognition of handwritten characters requires particular technics. This paper concerns commercially available optical character readers (OCRs) and the recognition techniques using therein. Methods of character recognition is classified the pattern types and the method of extracting features, to discuss the present states of the character recognition. In regard to the structural analysis, the proposed techniques are classified and discussed in accordance with the extraction method of line segment and axial correlation. Finally, various techniques are compared with one another by using a common database, so as to understand the present states of character recognition and to discuss the technical trends.},
keywords={},
doi={},
ISSN={},
month={May},}
Copy
TY - JOUR
TI - Present State of Recognition Method on Consideration of Neighbor Points and Its Ability in Common Database
T2 - IEICE TRANSACTIONS on Information
SP - 417
EP - 422
AU - Kazuhiko YAMAMOTO
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 1996
AB - Among various characters invented by the human being ,Kanji (Chinese character) is outstanding in its diversity and complexity, in contrast to Roman alphanumerics. So machine recognition of handwritten characters requires particular technics. This paper concerns commercially available optical character readers (OCRs) and the recognition techniques using therein. Methods of character recognition is classified the pattern types and the method of extracting features, to discuss the present states of the character recognition. In regard to the structural analysis, the proposed techniques are classified and discussed in accordance with the extraction method of line segment and axial correlation. Finally, various techniques are compared with one another by using a common database, so as to understand the present states of character recognition and to discuss the technical trends.
ER -
English
