摘要
为克服传统模板匹配方式识别字符存在的缺陷,采用BP神经网络技术,有效识别字符特征,快速识别字符.运用C++编程以及OpenCV计算机视觉库,降低系统实现的复杂程度,实现了字符的快速准确识别.
This paper uses BP neural network technology which can effectively identify the feature of characters to a chieve the ability to recognize characters. Through the use of C++ programming and OpenCV computer vision library, the complexity of the system to achieve a fast and accurate rec ognition of characters can be greatly reduced.
出处
《成组技术与生产现代化》
2017年第1期53-57,共5页
Group Technology & Production Modernization