基于图像边缘轮廓的银行支票小写金额识别  

Courtesy Amount Image Recognition in Bank Check Based on the Edge of Image

作　　者：曹文静[1] 王卫星[2] 

机构地区：[1]重庆邮电大学图形图像实验室,重庆400065 [2]重庆邮电大学计算机学院,重庆400065

出　　处：《中国西部科技》2009年第2期20-22,共3页Science and Technology of West China

摘　　要：银行支票的小写金额识别已有比较成熟的发展,针对模版匹配手写数字识别有太多的不确定性,BP网络手写数字识别训练复杂,参数不易设置等。本文提出了一种新的以手写数字0～9图像四个方向不同边缘轮廓为特征矢量,当前输入图像的特征矢量与标准特征矢量的最小欧几里德距离为判别公式,识别出支票上的小写金额,识别率98.5%。The courtesy amount recognition in bank check has been developed maturely.For the handwritten digits recognition,the model matching have too many uncertainties,and the BP network is complex for training and difficult to set parameters and so on.In this paper,a new method is proposed to extract the edge of 0～9 handwritten digits image as feature vector, the minimum Euclidean distance betweens the feature vector of input image and the standard feature vector as the discriminating formula,then identify courtesy amount in back check.

关 键 词：银行支票 小写金额 边缘轮廓 欧几里德距离 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] TP311.1[自动化与计算机技术—计算机科学与技术]