基于视觉传达技术的交通标志图像智能识别

Traffic sign image intelligent recognition based on visual communication technology

针对当前交通标志图像识别错误率高、识别实时性差等缺陷,以提高交通标志图像识别准确率为主要目标,提出基于视觉传达技术的交通标志图像智能识别方法。首先,采集交通标志图像,并根据视觉传达技术对图像进行预处理,提高交通标志图像质量;然后,从交通标志图像中提取识别特征,并采用机器学习算法中的支持向量机对交通标志图像进行自动分类和智能识别;最后,采用交通标志图像识别的数据集进行仿真模拟实验。结果表明,所提方法提高了交通标志图像智能识别的正确率,识别速度大大提升,交通标志图像智能识别结果明显优于当前其他方法,具有更高的实际应用价值。

In view of the defects of high error rate and poor real-time performance of the current traffic sign image recognition,a method of traffic sign image intelligent recognition based on visual communication technology is proposed to improve the recognition accuracy of traffic sign images. In the method,traffic sign images are collected and preprocessed according to visual communication technology to improve the quality of traffic sign images. The recognition features are extracted from the traffic sign images,and the support vector machine(SVM)in the machine learning algorithm is used to automatically classify and intelligently recognize the traffic sign images. The data sets for traffic sign image recognition is used to do simulation experiments. The results show that the accuracy of traffic sign image intelligent recognition of the proposed method is improved,the speed of recognition is significantly increased,and the effect of traffic sign image intelligent recognition of the proposed method is obviously better than that of other methods. Therefore,the proposed method has a higher practical application value.