Container Code Recognition from Images with Large Perspective Deformation

Abstract:

A novel method is proposed in this paper to recognize the container code from the images with large perspective deformation. First, the images are rectified by perspective transformation. Then, 26 capitalized English characters and 10 Arabic numerals are located and recognized based on the deep convolution neural network model. Finally, container codes are recognized from the candidate character set by cascade decision rules based on the priori knowledge of container code. The proposed method is verified by 1035 container images taken in Chongqing Port. The result shows that the accuracy of container code recognition reaches 97%, and the speed based on NVIDIA GeForce GTX1080 GPU is 2 to 5 frames/sec.