基于MATLAB神經(jīng)網(wǎng)絡(luò)的工業(yè)現(xiàn)場(chǎng)數(shù)字字符識(shí)別

本文以焦化廠爐號(hào)自動(dòng)識(shí)別為研究背景，基于MATLAB 軟件并運(yùn)用圖像處理的方法對(duì)從工業(yè)現(xiàn)場(chǎng)采集到的數(shù)字字符圖像進(jìn)行處理，然后采用神經(jīng)網(wǎng)絡(luò)的方法對(duì)圖像中的字符進(jìn)行識(shí)別仿真，從而達(dá)到對(duì)工業(yè)現(xiàn)場(chǎng)中的字符識(shí)別要求。該方法與傳統(tǒng)的方法相比較，具有較高的識(shí)別效率，且通用性較強(qiáng)。
關(guān)鍵詞：MATLAB；字符識(shí)別；神經(jīng)網(wǎng)絡(luò)；圖像處理

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