Translation analysis of English address image recognition based on image recognition

Abstract In the current English semantic recognition of mail, there are problems such as serious information distortion and unrecognizable, which affects the promotion of machine automation to recognize text in emails. This study combines the actual situation of the mail image to set the corresponding image processing algorithm, adopts the conversion from RGB data to gray data to perform image gray processing, and combines the weighted average gray algorithm to improve the image gray definition and softness. At the same time, this study uses homomorphic filtering to enhance the image, uses homomorphic filtering to enhance the sharpness of the text, and uses median filtering to enhance the image. Image edge recognition is performed with the Sobel color difference operator, and the text result is output. Combining experiments to study the performance of the algorithm, the research shows that the algorithm has certain practical effects, which can provide reference for subsequent related research