Handwriting Identification Based on Constructing Texture

Qinghu Chen, Yuchen Yan, Wei Deng, Feng Yuan
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引用次数: 7

Abstract

When textural features are applied to handwriting identification, the accuracy is not high due to the fact that the textural features fluctuate randomly because of the different contents and positions of the characters. In this paper an approach for the construction of texture images is presented. The features of the texture images are calculated and the mathematical expectations of them are estimated. Then the weighted Euclidean distance (WED) classifier is adopted to identify the writer. This approach is proved to be a very promising method for text-independent handwriting identification both theoretically and practically.
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基于构造纹理的笔迹识别
将纹理特征应用于笔迹识别时,由于字符的内容和位置不同,纹理特征会随机波动,准确率不高。本文提出了一种构造纹理图像的方法。计算了纹理图像的特征,估计了纹理图像的数学期望值。然后采用加权欧氏距离(WED)分类器对写作者进行识别。该方法在理论和实践上都被证明是一种很有前途的独立于文本的手写识别方法。
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