Intelligent Recognition Method of Railway Vehicle Number CMOS Image Sensing Information
Rearding the increases of image repetition area and complexity of railway vehicle number recognition caused by mixed interferences of various external factors in the process of collecting railway vehicle number image with CMOS sensor,a railway vehicle number recognition method based on CMOS sensor is proposed.The CMOS sensor is used to collect the railway vehicle number image under the interference of various factors,and the deep convolution neural network is applied to detect the duplicate area of the railway vehicle number image,eliminate the useless rectangular frame,and determine the effective vehicle number area.With the Wiener filter,the railway vehicle number pre-selection frame area is de-noised to effectively avoid the adverse impact of interference factors on the railway vehicle number image quality.A railway vehicle number recognition model is built,trained by multi-task learning method,input the de-noised image to get the railway vehicle number recognition results.The experimental results show that the train number recognition by the proposed method has high accuracy and short time with good practical application effect.
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