基于特征空间的旋转字符识别

H. Hase, Toshiyuki Shinokawa, M. Yoneda, C. Suen
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引用次数: 27

摘要

在本文中,我们提出了一种识别倾斜、旋转字符的方法。首先,我们使用协方差矩阵为每个类别构造一个特征子空间,协方差矩阵是从足够数量的旋转字符中计算出来的。接下来,我们可以通过将它们的旋转特征投影到特征子空间上,并在投影点之间进行插值来获得轨迹。一个未知字符也被投影到每个范畴的特征子空间上。然后,通过计算未知特征投影点到轨迹的距离进行验证。在我们的实验中,我们对英文字母表中26个大写字母(A, B, ....)的CENTURY字体获得了相当好的结果, Z)。该方法具有同时获得识别结果(类别)和倾斜角的优点
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of rotated characters by Eigen-space
In this paper, we present a method of recognizinginclined, rotated characters. First we construct an eigensub-space for each category using the covariance matrixwhich is calculated from a sufficient number of rotatedcharacters. Next, we can obtain a locus by projectingtheir rotated characters onto the eigen sub-space andinterpolating between their projected points. An unknowncharacter is also projected onto the eigen sub-space ofeach category. Then, the verification is carried out bycalculating the distance between the projected point ofthe unknown character and the locus. In our experiment,we obtained quite good results for the CENTURY font of26 capital letters of the English alphabet (A, B, .... ,Z).This method has the added advantage of obtaining therecognition result (category) and angle of inclination atthe same time
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