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机构地区:[1]南京航空航天大学信息科学与技术学院,江苏南京210016
出 处:《机械制造与自动化》2002年第5期65-68,71,共5页Machine Building & Automation
摘 要:本文提出了一种兼顾整体灰度水平和像素邻域特征的身份证扫描图像的二值化方法——嵌入式多阈值动态自适应的二值化方法。该算法模型简单 ,自适应强 ,处理速度快 ;从实验结果上看 ,能滤除噪声 ,而且不出现字符笔划粘连、断裂现象。This paper has proposed a new image binarization method to process scanned images of ID card, which is named as Dynamic Self-adaptive Binarization with Embedded Multi Thresholds. This approach can take into account the gray levels of the whole frame and the neighborhood feature of the pixels simultaneously. With this method, image binarization is easy, fast and self-adaptive. Experiment results show that this approach has the advantage of getting rid of adhesion and rupture of characters in scanned ID cards, as well as good cancellation of the noise.
分 类 号:TP391.4[自动化与计算机技术—计算机应用技术]
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