设计了一种基于主曲线和粗糙集方法相结合的新颖的票据自动识别系统。
A new automatic recognition system of bills is designed on the basis of the principal curves and rough set methods.
本文采用神经网络模式识别的方法，研究了金融票据中数字等特征的识别问题。
This paper does some researches on recognition of numerals in financial notes with neural network.
介绍了系统的功能、硬件设计、软件设计和性能指标，重点分析了非接触式ic卡、证件号码光学字符识别(ocr)、票据打印及分时传送和纸币接收器等关键技术的实现。
The function, design, and performance index of the system are described, and the techniques of non-contact IC card, OCR of passport number, bill printing and cash acceptor are mainly discussed.
金融票据图像识别处理是当今的一个热点研究方向，而票据分类是其中重要的基础部分。
Recently, financial document analysis and recognition is a hot research topic, and form classification is one of its fundamental parts.
字符识别是模式识别中的一个应用，通过训练网络可以教会计算机如何识别字符，这在票据处理方面可以大大地提高效率。
Character identification is an application in pattern identification. Computer could learn how to identify character by training network to greatly improve efficiency in processing coupon.
并在此基础上设计一个基于BP神经网络的数字识别系统，此系统可以作为核心部分应用到诸如票据等数字识别中去。
According to this algorithm, a numerical recognition system based on BP neural network was designed. This system could be put into the application of numerical recognition such as bill system.
在银行的印章鉴定系统中，正确识别票据印章的前提条件是得到高质量的预处理图像。
In the seal imprint verification system of bank, obtaining high quality preprocessed image is a prerequisite to correctly verify the seal imprint of documents.
在银行的印章鉴定系统中，正确识别票据印章的前提条件是得到高质量的预处理图像。
In the seal imprint verification system of bank, obtaining high quality preprocessed image is a prerequisite to correctly verify the seal imprint of documents.
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