Comprehensive Check Image Reader

M. Shridhar, G. Houle, F. Kimura
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引用次数: 6

Abstract

A check contains more than just an amount. The fields of interests are courtesy and legal amounts, date, check number, MICR line, payer, payee, memo, signature, signature instruction, fractional validation numbers, endorsement, security features, etc. In fact a bank can literally construct a very meaningful profile of the account holder from an analysis of the checks written and received by an account holder. Since October 2005 the "Check 21" law defines an image of a check as being as valid as the original document. The agreement between banks is that a binary image 200-240 dpi is the most practical format to use. Since most banks are now creating images and must be able to handle incoming images it creates a need for new image tools to validate the quality and readability of each field. This paper describes the challenges in finding and recognizing the fields of interest on the broad document types. These fields contain machine printed and handwritten words. The remaining of the paper would focus on handwritten legal line recognition which remains the most challenging field
综合检查图像阅读器
支票包含的不仅仅是金额。感兴趣的领域是礼貌和法定金额、日期、支票号码、MICR线、付款人、收款人、备忘录、签名、签名说明、分数验证号码、背书、安全特性等。事实上,银行可以通过对账户持有人所写和收到的支票的分析,建立一个非常有意义的账户持有人的个人资料。自2005年10月起,“支票21”法案规定支票图像与原始文件具有同等效力。银行之间的协议是,二进制图像200-240 dpi是最实用的格式。由于大多数银行现在都在创建图像,并且必须能够处理传入的图像,因此需要新的图像工具来验证每个字段的质量和可读性。本文描述了在广泛的文档类型中寻找和识别感兴趣的领域所面临的挑战。这些字段包含机器打印和手写的单词。本文的其余部分将着重于手写法律线识别,这仍然是最具挑战性的领域
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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