基于OpenCV的人工神经网络字符识别研究

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 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.