基于不变矩特征的二维码模糊类型辨识算法  

Two-Dimensional Bar Code Blur Type Recognition Algorithm Based on Invariant Moment Feature

作　　者：刘宁钟[1] 叶超[1] 苏军[1] 

机构地区：[1]南京航空航天大学计算机科学与技术学院,南京210016

出　　处：《数据采集与处理》2014年第1期54-59,共6页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61375021)资助项目;江苏省自然科学基金(SBK201322136)资助项目;江苏省"六大人才高峰"(DZXX-035)资助项目;南航基本科研业务费(NS2013087)资助项目

摘　　要：二维条码作为一种重要的自动识别技术,有极大的商用前景。有效地解决二维条码图像模糊问题是其能够得以广泛应用的关键。针对条码识别中的常见3类模糊函数,设计了一个基于不变矩的辨识方法。文中分析了不同的模糊类型的频域图像的差异。经过边缘检测和去噪音的预处理后,对图像进行二值化,并提取矩特征进行辨识。最终实验表明本文设计的算法具有很好的识别率。As an important automatic identification technology, the two-dimensional bar code has wide range of prospects for commercial applications. Effective solution of the two-dimen- sional bar code image blur is the key to its wide use. In order to recognize the blurring type, an algorithm based on invariant moment theory is proposed. The frequency spectrum in different types of degradation for blurred bar code images is analyzed to find their differences. After edge detection, denoise processing and binarization , the invariant moment feature is extracted to recognize the blurring type. Experimental results show that the proposed algorithm can ob- tain a high recognition rate.

关 键 词：二维码 模糊类型 不变矩 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]