摘要
纸币扎把的识别是纸币处理一个关键环节。目前识别纸币扎把的方法有图像颜色识别法和图像噪声边沿法,两种方法都需要保证扎把颜色与背景色有较大的差异,而且计算复杂。提出了图像分块的图像熵计算方式来完成纸币捆中的扎把区域识别的新思路,放宽了条件,提高了识别速度。
Identification of banknote tie is a key to process paper money.The existing image color recognition method and image noise edge method need to ensure that the tie color and background color are quite different,and they need complex computation.This paper puts forward new idea that we can recognize the area of paper tape in the bundle of the paper money by image entropy calculation of image sub-block.It relaxes conditions and improves the recognition speed.
出处
《河北北方学院学报（自然科学版）》
2012年第5期28-30,共3页
Journal of Hebei North University:Natural Science Edition
基金
河北省科学技术研究与发展计划项目(114572126)
关键词
纸币扎把
图像识别
图像熵
banknote tie
image recognition
image entropy
