基于Android平台的交通标志识别研究

Research on the traffic sign recognition based on Android terminal

通过前期调研和对基于颜色和形状的交通标志检测方法的MATLAB仿真实验,提出并实现了基于机器学习的交通标志检测方法。由于自然场景下的交通标志往往具有复杂的背景,基于机器学习的交通标志检测方法能够更准确地识别出自然场景下的交通标志。通过Android NDK技术,将C++语言编写的图像处理程序交叉编译生成动态链接库,该动态链接库便可在Android端通过Java程序调用,解决了常用计算机视觉库在Android平台上提供的接口不全、资料不完整导致的无法进行复杂图像处理的问题。实现了将道路交通标志识别算法应用于Android系统平台上,并进行了相关功能测试。

Through the preliminary simulation and the Matlab simulation experiment based on the color and shape of the traffic sign detection method, the traffic mark detection method based on machine learning is proposed and realized. Because the traffic signs in the natural scene often have complex background, the traffic detection method based on machine learning can more accurately identify the traffic signs under the natural scene. Through the Android NDK technology, the C＋＋ language image processing program can be cross-compiled into the dynamic link library, which can be called in the Android side by the Java program to solve the problem that the commonly used computer vision library on the Android platform provides incomplete interfaces and incomplete data. The road traffic sign recognition algorithm is applied to the Android system platform, and the related function test is carried out.