摘要
针对当前警示标志识别正确率低、识别速度慢等不足,提出基于视觉传达的警示标志识别方法。首先提取警示标志识别的一些特征,然后结合人的视觉传达感知设计一些规则,最后采用神经网络实现警示标志识别,并通过具体实验测试该方法的有效性和优越性。测试结果表明,所提方法提高了警示标志识别的正确率,有效改善了警示标志识别的速度,而且警示标志识别效果明显优于当前其他警示标志识别方法。
Aiming at the shortcomings of low recognition accuracy and slow recognition speed of warning signs,a warning signs identification method based on visual communication is proposed. The characteristics of warning signs recognition are extracted,and combined with the human′ s visual perception to design some rules. And then the neural network is used to realize the warning signs identification. The effectiveness and superiority of the method were verified with specific test. The test results show that the method can improve the recognition accuracy and recognition speed of the warning signs,and its recognition effect is better than that of other warning signs recognition methods.
作者
黄有望
白新国
HUANG Youwang;BAI Xinguo(College of Apparel ＆ Design,Xi’an Polytechnic University,Xi’an 710048,China;College of Computer Science,Xi’an Polytechnic University,Xi’an 710048,China)
出处
《现代电子技术》
北大核心
2018年第11期129-132,共4页
Modern Electronics Technique
基金
陕西省教育厅2017自然专项项目资助(17JK0331)~~
关键词
视觉传达
警示标志
识别方法
识别正确率
识别速度
神经网络
visual communication
warning sign
identification method
recognition accuracy
recognition speed
neural network
