摘要
针对大角度条码图像区域自动定位这一关键技术的具体应用,笔者提出一种适合大角度条码图像区域自动定位的算法。该算法以高斯滤波、边缘检测和霍夫变换做预处理,采用已经训练好的人工神经网络进行定位,运用全局与局部结合的二值化方法进行二值化、识别。实验证明,该算法图像定位准确率高,大角度条码图像定位效果较为理想,提升了图像识别的正确率。
Aiming at the specific application of the key technology of automatic location of large angle bar code image area,the author proposed an algorithm suitable for automatic location of large angle bar code image area.In this algorithm,Gaussian filtering,edge detection and Hough transform are used as preprocessing,trained artificial neural network is used for positioning,and global and local binary methods are used for binarization and recognition.The experimental results show that the algorithm has high accuracy for image location,especially for large angle bar code image,which improves the accuracy of image recognition.
作者
陈璇
雷海军
CHEN Xuan;EI Haijun(Hunan Polytechnic of Water Resources and Electric Power,Changsha Hunan 410131;School of Computer and Software,Shenzhen University,Shenzhen Guangdong 518060;Guangdong Provincial Popular High Performance Computer Key Laboratory,Shenzhen Guangdong 518060)
出处
《河南科技》
2019年第35期42-47,共6页
Henan Science and Technology
基金
湖南省教育厅课题“基于移动互联网的电力营销信息采集与管理系统研究”（No.14C0742）
关键词
大角度条码
自动定位
人工神经网络
二值化
条码识别
large anglebarcode
automatic positioning
artificial neural network
binarization
recognition
