一种有效的巴西银行支票阈值分割算法

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Pub Date : 2007-09-23 DOI:10.1109/ICDAR.2007.50

C. Mello, B. Bezerra, C. Zanchettin, V. Macário

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引用次数: 4

摘要

提出了一种对银行支票图像进行阈值分割的算法。这些图像具有复杂的背景元素。其中一些模式使得很难区分文本和银行定义的纹理模式。在二值化过程中，提出了一种基于ROC曲线的自适应全局阈值化算法，并与几种常用算法进行了比较。新算法生成的图像对CMC7代码的识别命中率达到97%。

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An Efficient Thresholding Algorithm for Brazilian Bank Checks

It is present herein an algorithm for thresholding images of bank checks. These images have complex background elements. Some of these patterns make very hard to distinguish between the text and the texture pattern defined by the bank. For the binarizing process, an adaptive global thresholding algorithm is proposed based on ROC curves and it is compared to several well-known algorithms. The images generated by the new algorithm achieved a hit rate of 97% for recognition of the CMC7 code.

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Ninth International Conference on Document Analysis and Recognition (ICDAR 2007)

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