Character recognition of train boxcar features based on machine vision
The machine vision technology is integrated into the loading machine to realize the location,segmentation,and recognition of the characteristic character area of the train box car.Firstly,the acquired image is preprocessed to locate the character region,then the character correction is carried out and the region that does not belong to the character is removed,and then the character is segmented based on the connected domain analysis method.At last,the recognition accuracy rate of each method is obtained by discussing and using three recognition methods,name-ly template matching,OCR recognition,and convolutional neural network.The experimental results showed that under the same condition of image preprocessing,and character segmentation,the recognition result of convolutional neural network was the best,and the recognition accuracy reached 96%.This research can identify train characteris-tics characters well,and also provide research ideas for other types of character recognition.
万方数据
维普
