中国财务发票识别系统的设计与实现

Delle Ming Delle Ming, Jian Liu Jian Liu, Jinwen Tian Jinwen Tian
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引用次数: 0

摘要

本文根据我国财务发票的特点,设计并实现了一个财务发票识别系统。通过在每个垂直段上采用线性整块移动的方法,提出了一种新的快速检测和校正倾斜图像的算法。为了区分不同的表单类型(定位表单字段、过滤表单行等必要的基础),讨论了几种具有代表性的表单特征,并采用半自动机器学习方法建立了发票类型特征库。在识别发票类型的基础上,根据发票类型特征,将真实发票表单重新定位为对应的空白表单,解决了字符与表单线条的粘附问题,以及字符分割和识别问题。针对金融中文发票图像的特点,提出了基于金融汉字和阿拉伯数字识别结果的相互纠错机制,提高了金融中文发票图像的识别率。最后给出了实验结果和结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The design and implementation of a Chinese financial invoice recognition system
This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice. By using the linear whole block moving method in each vertical segment, a new fast algorithm is put forth to detect and rectify the slant image. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc.), several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of characters segmentation and recognition. Based on the financial Chinese invoice image feature, a mutual rectification mechanism founded on the recognition results of financial Chinese characters and Arabic numerals is put forward to raise the recognition rate. Finally, the experimental results and conclusions are presented.
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