Two-dimensional extension of nonlinear normalization method using line density for character recognition
Two-dimensional extension of nonlinear normalization method using line density for character recognition
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DOI：
10.1109/icdar.1997.620551
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发表时间：
1997-06
期刊：
影响因子：
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通讯作者：
T. Horiuchi;R. Haruki;Hiromitsu Yamada;Kazuhiko Yamamoto
中科院分区：
文献类型：
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作者：
T. Horiuchi;R. Haruki;Hiromitsu Yamada;Kazuhiko Yamamoto
一些作者先前提出了几种利用线密度对手写字符进行非线性归一化的方法，并验证了这些非线性方法比线性方法更有效。然而，这些非线性方法不能利用线密度的二维信息，因为线密度是投影到坐标轴上的。本文提出了一种利用线密度二维信息的扩展非线性归一化方法。通过在手写字符数据库ETL-8上的实验验证了该方法比传统方法更有效。
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.