一种基于结构特征的票据印刷号码识别方法

目的为保证含有号码印刷错误的票据不流入社会,研究一种新的用于票据印刷在线检测系统的号码识别方案。方法提出一种基于结构特征的票据号码识别方法。先对票据图像进行采集、灰度化、二值化、去噪、倾斜校正、字符定位、单字符分割及归一化等一系列预处理。建立一种基于结构特征的号码识别分类器,再根据票据中每个号码的结构特征值,对号码进行分类识别。结果实验结果表明,利用文中提出的结构特征方法,票据号码识别率达到99%以上。结论经过对大量实际发票号码的识别测试实验,该方法有较强的抗干扰性,识别算法速度快、精度高。

Identification Method for Invoice Printing Number Based on Structural Features

The work aims to research a new number identification method for the invoice printing online inspection system in order to ensure that the invoice containing number printing error does not flow into the society. An invoice number identification method based on structural features was proposed. Firstly, a series of pre-processing for the invoice image was realized, such as collection, graying, binarization, denoising, tilt correction, character positioning, single character segmentation, normalization and so on. A number identification classifier based on structural features was established, and then the number was classified according to the structural characteristic value of each number in the invoice. Based on the experimental results and by means of the proposed structural characteristic method, the invoice number identification rate reached above 99%. After a large number of actual invoice number identification tests, the proposed method has strong anti-interference ability, and the recognition algorithm is fast and the accuracy is high.