摘要
为了对条码内容进行识读解码,需要对条码图像进行二值化处理以求取出条码的条空序列。现行的二值化方法大多要么不能够获取到较好的条码二值化图像,要么二值化所需的处理时间太长不能够满足实时性需求。对此,提出一种使用积分图的基于Wellner自适应二值化算法的改进方法。实验结果表明,该方法对不同光照环境的图像都能够获取到较好的条码二值化图像,为条码识读解码提供较好的图像效果,从而提升条码识别成功率;此外,该方法所需处理时间较短,能够满足大多数条码识读应用对实时性的需求。
To decode the content of barcode, a good binary image is needed. There are many binarization methods, but most of them either not able to get a good barcode binary image or need a long time to process image. To solve these problems, an im- proved adaptive thresholding algorithm uses integral image based on Wellner＇s method is presented. Experimental results show that this method can get a good binary image for both uniform and uneven illumination, which will give a good support for detec- ting and decoding barcode. The experimental results also show that the processing just need a little time, so it can be used in real-time required applications such as embedded system applications.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第4期1324-1330,共7页
Computer Engineering and Design
基金
国家科技重大专项基金项目(2013ZX03005009-002)
国家自然科学基金项目(11102124)
教育部新世纪优秀人才支持计划基金项目(NCET-10-0604)
教育部博士基金项目(20090181110053)
四川省青年基金项目(09ZQ026-028)
关键词
自适应二值化
积分图
阈值化
条码识读
二维码
adaptive threshold~ integral image~ binarization
barcode reading~ 2D-barcode
