基于MATLAB神经网络的工业现场数字字符识别

本文以焦化厂炉号自动识别为研究背景，基于MATLAB 软件并运用图像处理的方法对从工业现场采集到的数字字符图像进行处理，然后采用神经网络的方法对图像中的字符进行识别仿真，从而达到对工业现场中的字符识别要求。该方法与传统的方法相比较，具有较高的识别效率，且通用性较强。
关键词：MATLAB；字符识别；神经网络；图像处理

A Research of Numerical Character Recognition Based on MATLAB Neural Networks in Industry Field Zhang Liang Fang Kangling Gong Jian Yan Xia （College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China, 430081） Abstract: This paper’s research background is the auto-recognition of cook oven number in the cokeoven plant. It is based on the software MATLAB, and uses the image processing methods to deal with the pictures which are sampled in the industry field, and then the neural network algorithm is applied to stimulant the recognition of the numerical characters in the picture, so that it can fit for producing need. Compared with the traditional methods, this algorithm has good recognition efficiency and versatility.
Keywords: MATLAB; Character Recognition; Neural Networks; Image procession