基于OMAPL138数显仪表字符识别系统的设计与实现

为了能够方便、准确地识别出数显仪表中的数据,设计了一种基于OMAPL138的嵌入式图像处理识别系统.在详细介绍系统硬件平台和各子模块的基础上,重点介绍了针对嵌入式系统所采用的图像处理算法.利用图像处理技术,对获取的原始图像进行预处理、字符定位、字符分割;采用BP神经网络等技术对字符进行识别;为提高嵌入式系统图像处理速度,针对性地优化了图像处理算法.以低温等离子体设备系统中的真空计设备作为具体应用对象进行系统测试,测试结果表明,该系统能够较为准确、快速地识别出数显仪表中的数据.

Design and Realization of Character Recognition System Based on OMAPL138 for Numeral Instrumentation

In order to identify the data in the digital display instrument easily and accurately,an embedded image processing and recognition system based on OMAPL138 is designed.The image processing algorithm mainly for the embedded system is highlighted on the basis of introducing the hardware platform of the system and each sub-module in a detailed way.The image processing technology is employed to pre-process the obtained original image,to locate and segment the characters.Such technologies as BP neural network are used to identify the characters.In order to improve the speed of image processing of the embedded system,the image processing algorithm is optimized particularly.The vacuum gauge equipment in the low-temperature plasma equipment system is used as the specific application object to carry on the system test,and the result shows that this system can quickly and accurately identify the data in the digital instrument.