Image Enhancement and Detection of Courier Slips Based on Affine Transform

Aiming at the problem of courier slip information extraction in a complex environment, a courier slip image enhancement and detection algorithm based on affine transformation is studied and proposed, which enhances the courier bill image in a complex environment by gamma transformation and automatic color equalization algorithm, and quickly locates the courier slip subject based on the barcode position in combination with the actual situation Then the affine transformation is introduced to detect the courier slip. Simulation and comparison experiment is conducted using Python and OpenCV, the results of which show that the algorithm can effectively improve the traditional OCR algorithm when the picture has low brightness or high exposure, the courier bill has a small proportion in the picture and the direction is difficult to determine, and improve the positioning efficiency and recognition success rate of the courier slips. It can be combined with technologies such as robotic arms and AGV omnidirectional mobile chassis and is widely used in various sorting scenarios such as logistics transfer.