基于支持向量机的字符编码识别系统

The Design of Recognition System for Numbers of Detonators Based on Support Vector Machine

基于支持向量机设计了一种产品字符编码识别系统,该系统通过CCD视觉传感器采集图像信息,经过目标提取、字符分割、编码识别过程,最后输出识别结果.其中,识别过程采用支持向量机作为判别函数分类器,该方法能较好的解决小样本、非线性、高维数等实际问题,并且较传统的神经网络识别方法训练速度更快.实验结果表明,该方法识别率高,可以达到98.3%,并且具有较高的实时性.

We design an identification system for numbers. First, the system gets image information by vision sen- sor CCD. The results can be achieved by the process of target extraction, character segmentation, code identification~ the recognition process use support vector machine （SVM） as a discriminant function classifier. The method can better solve the actual problems such as small samples, nonlinear, high dimension and so on. Moreover, the proposed meth- od in this paper is much faster than the traditional methods such as the neural network method. Experimental results show that the method developed in this paper can achieve a higher recognition rate over 98.3% and high real-time.