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Two-dimensional extension of nonlinear normalization method using line density for character recognition

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4 Author(s)
Horiuchi, T. ; Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan ; Haruki, R. ; Yamada, H. ; Yamamoto, K.

Some of the authors previously proposed a few nonlinear normalization methods using line density for handwritten characters and it was verified that those nonlinear methods were more effective than a linear method. Those nonlinear methods, however, could not use two-dimensional information of the line density, because the line density was projected onto the axes of coordinates. The paper proposes an extended nonlinear normalization method which uses two-dimensional information of the line density. It is confirmed that the proposed method is more powerful than conventional methods by experiments tested on the handwritten character database ETL-8

Published in:

Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on  (Volume:2 )

Date of Conference:

18-20 Aug 1997

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