Template Image Matching and Correction Algorithm Based on Multiple Complex Keywords
A template image matching correction algorithm based on multiple complex keywords is proposed to address the problems of poor image correction effect of smart meter readings in text recognition,resulting in the inability to generate recognition templates and low accuracy of recognition results.This algorithm selects appropriate keywords and uses annotation software to extract the coordinates of the keywords to achieve template image matching correction for smart meters,providing a good recognition template for subsequent meter reading recognition.Through various subsequent smart meter recognition experiments,it has been proven that this algorithm has the characteristics of simplicity,convenience,strong robustness,good correction effect,and high correction success rate.Compared with the image correction algorithm based on four point positioning,the proposed algorithm improves the correction success rate by more than 20%.