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Hiromitsu YAMADA, "Continuous Nonlinearity in Character Recognition" in IEICE TRANSACTIONS on Information,
vol. E79-D, no. 5, pp. 423-428, May 1996, doi: .
Abstract: Continuous nonlinearity" is stressed as a fundamental principle in pattern recognition including handprinted Kanji character recognition. Continuity" in template matching and spatial nonlinearity" in structural analysis should be unified toward deriving a higher level of recognition algorithm. At the same time, continuous nonlinearity in the temporal axis is important, as is the case of simultaneous processing of segmentation and recognition for touching characters. The above viewpoint is discussed in the following examples: nonlinear normalization, directional pattern matching, locally maximized similarity, relaxation matching, dynamic programming matching, segmentation of character string using dynamic programming, and exhaustive matching for character extraction on complex background.
URL: https://global.ieice.org/en_transactions/information/10.1587/e79-d_5_423/_p
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@ARTICLE{e79-d_5_423,
author={Hiromitsu YAMADA, },
journal={IEICE TRANSACTIONS on Information},
title={Continuous Nonlinearity in Character Recognition},
year={1996},
volume={E79-D},
number={5},
pages={423-428},
abstract={Continuous nonlinearity" is stressed as a fundamental principle in pattern recognition including handprinted Kanji character recognition. Continuity" in template matching and spatial nonlinearity" in structural analysis should be unified toward deriving a higher level of recognition algorithm. At the same time, continuous nonlinearity in the temporal axis is important, as is the case of simultaneous processing of segmentation and recognition for touching characters. The above viewpoint is discussed in the following examples: nonlinear normalization, directional pattern matching, locally maximized similarity, relaxation matching, dynamic programming matching, segmentation of character string using dynamic programming, and exhaustive matching for character extraction on complex background.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Continuous Nonlinearity in Character Recognition
T2 - IEICE TRANSACTIONS on Information
SP - 423
EP - 428
AU - Hiromitsu YAMADA
PY - 1996
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E79-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 1996
AB - Continuous nonlinearity" is stressed as a fundamental principle in pattern recognition including handprinted Kanji character recognition. Continuity" in template matching and spatial nonlinearity" in structural analysis should be unified toward deriving a higher level of recognition algorithm. At the same time, continuous nonlinearity in the temporal axis is important, as is the case of simultaneous processing of segmentation and recognition for touching characters. The above viewpoint is discussed in the following examples: nonlinear normalization, directional pattern matching, locally maximized similarity, relaxation matching, dynamic programming matching, segmentation of character string using dynamic programming, and exhaustive matching for character extraction on complex background.
ER -
English
