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基于OpenCV的人工神经网络字符识别研究
引用本文:刘智辉,陈洪立,江先志.基于OpenCV的人工神经网络字符识别研究[J].成组技术与生产现代化,2017,34(1).
作者姓名:刘智辉  陈洪立  江先志
作者单位:浙江理工大学 机械与自动控制学院,浙江 杭州,310018
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.

关 键 词:字符识别  OpenCV  BP神经网络  智能系统

Research on Character Recognition ofArtificial Neural Network Based on OpenCV
LIU Zhi-hui,CHEN Hong-li,JIANG Xian-zhi.Research on Character Recognition ofArtificial Neural Network Based on OpenCV[J].Group Technology & Production Modernization,2017,34(1).
Authors:LIU Zhi-hui  CHEN Hong-li  JIANG Xian-zhi
Abstract:This paper uses BP neural network technology which can effectively identify the feature of characters to achieve 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 recognition of characters can be greatly reduced.
Keywords:character recognition  OpenCV  BP neural network  intelligent system
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