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基于有限状态机的Invoice收票自动化系统

An Invoice Confirmation System Based on Finite Automation
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摘要 传统发票识别通常拿纸质发票扫描再采用OCR识别,识别准确率为80%至90%。而由于本案使用Word或者Excel格式转化成的pdf格式发票,文件保留了完整的字符信息和一些相对固定的格式信息。以编译原理的思维,把发票转化成的文本看作为一种编程语言,再用有限状态机去识别。实验结果表明,准确率可达99%以上,获得了满意的效果。 Traditional invoice recognitionis usually completed by scanning paper invoices and then using OCR.The recognition accuracy is about 80%-90%.For our case,the invoice files contain complete character information and some relatively fixed format information.If the text from the invoice is regarded as a programming language,it can be recognized by a finite automaton.Experimental results show that the accuracy of this method can reach more than 99%,which is a satisfactory result.
作者 施海昕 周雪峰 陈凯 刘云锋 SHI Haixin;ZHOU Xuefeng;CHEN Kai;LIU Yunfeng(ICkey(Shanghai)Internet and Technology Co.Ltd.,Shanghai 201612,China;School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai 201240,China)
出处 《微型电脑应用》 2020年第11期86-89,共4页 Microcomputer Applications
关键词 有限状态机 发票识别 编译原理 finite automaton invoice recognition principles of compliers
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