Recognition of Character Coded Marks Based on Residual Network
Aiming at the problem of how to improve the capacity and recognition rate of coded mark in close-range photogrammetry of large structure,this paper designs a character coded marks composed of cen-ter circle,letters and numbers,and proposes a character coded point recognition method based on ResNet18 model and a sub-pixel location method based on Zernike moment.Firstly,the image is preprocessed by means filtering,adaptive threshold processing and closing operation in morphology,and then the prepro-cessed image is segmented according to connected domain analysis and screening to get character coded marks.Secondly,the character coded mark recognition network is used for recognition,and finally the cod-ing points are located by subpixel positioning method.The experimental results show that the recognition accuracy of character coding points can reach 99.89%.This kind of marker points have high positioning accuracy and the proposed recognition method has high accuracy.
close-range photogrammetrycharacter coded markscharacter coded marks recognition net-worksubpixel localization
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