Continuous Nonlinearity in Character Recognition (Special Issue on Character Recognition and Document Understanding)

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概要

• 論文の詳細を見る

• "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.

• 一般社団法人電子情報通信学会の論文
• 1996-05-25

著者

• Yamada Hiromitsu

  Machine Understanding Division Electrotechnical Laboratory

関連論文

• Three-Dimensional Measurement Approach for Seal Identification
• Continuous Nonlinearity in Character Recognition (Special Issue on Character Recognition and Document Understanding)

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