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Research on registration algorithm for check seal verification

机译:支票印章核实注册算法研究

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Nowadays seals play an important role in China. With the development of social economy, the traditional method of manual check seal identification can't meet the need s of banking transactions badly. This paper focus on pre-processing and registration algorithm for check seal verification using theory of image processing and pattern recognition. First of all, analyze the complex characteristics of check seals. To eliminate the difference of producing conditions and the disturbance caused by background and writing in check image, many methods are used in the pre-processing of check seal verification, such as color components transformation, linearity transform to gray-scale image, medium value filter, Otsu, close calculations and labeling algorithm of mathematical morphology. After the processes above, the good binary seal image can be obtained. On the basis of traditional registration algorithm, a double-level registration method including rough and precise registration method is proposed. The deflection angle of precise registration method can be precise to 0.1°. This paper introduces the concepts of difference inside and difference outside and use the percent of difference inside and difference outside to judge whether the seal is real or fake. The experimental results of a mass of check seals are satisfied. It shows that the methods and algorithmic presented have good robustness to noise sealing conditions and satisfactory tolerance of difference within class.
机译:如今,海豹在中国起着重要的作用。随着社会经济的发展,传统的手工支票盖章识别方法已不能很好地满足银行交易的需要。本文着重于利用图像处理和模式识别理论对支票印章进行核实的预处理和配准算法。首先,分析止回密封的复杂特性。为了消除生产条件的差异以及支票图像的背景和书写造成的干扰,在支票印章验证的预处理中使用了许多方法,例如颜色分量转换,线性转换为灰度图像,中值滤镜。 ,大津,数学形态学的紧密计算和标记算法。经过上述过程,可以获得良好的二值印章图像。在传统配准算法的基础上,提出了一种包括粗略配准和精确配准的双层配准方法。精确套准方法的偏转角可以精确到0.1°。本文介绍了内部差异和外部差异的概念,并使用内部差异和外部差异的百分比来判断印章是真品还是假品。大量的止回密封件的实验结果令人满意。结果表明,所提出的方法和算法对噪声密封条件具有良好的鲁棒性,并具有令人满意的类内差异容忍度。

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