Abstract
At present, there are serious distortions in the translation of image English characters. In order to alleviate this problem, this study improves the traditional algorithm, uses the Canny edge detection method as the edge detection method through experimental comparison and analysis, and combines the image evolution to analyze the English character translation of multiple complex images. Simultaneously, in this study, the closed space is used to fill the small holes in the target area, and some intrinsic characteristics of the text area are used to form the heuristic knowledge to limit the connected area, and the English candidate area is constructed for the image recognition algorithm of the image. Then, this study uses the English candidate area as the recognition area for translation recognition. The research shows that the algorithm has certain practical effects and can provide a theoretical reference for subsequent related research.
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