Fourth International Conference Document Analysis and Recognition (ICDAR'97) Two-dimensional Extension of Nonlinear Normalization Method using Line Density for Character Recognition Ulm, GERMANY August 18-August 20 ISBN: 0-8186-7898-4
A part of the authors have been 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 on to the axes of coordinates. This 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.
Citation:
Takahiko Horiuchi, Ryoji Haruki, Hiromitsu Yamada, Kazuhiko Yamamoto, "Two-dimensional Extension of Nonlinear Normalization Method using Line Density for Character Recognition," icdar, pp.511, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||