The Text Recognition And Translation System Based On Android Platform

In our life, people need to fill in all kinds of record forms. Storage and recordthese handwritten information tend to be more troublesome.At that time, the opticalcharacter recognition technology is born.Optical character recognition technology has been applied in every aspect of ourlife. It can scan the technology of printed character,than transform it into a computerlanguage.The generation and development of this technology greatly reduces thehuman labor.It has very important research significance.Limited by the interference of external factors, which would affect the laterrecognition rate, so the preprocessing of the text image is needed. The preprocessingof the text image, can be divided into several small parts. First of all, the binarizationof the image, then use the histogram equalization.The last of it is the median filter.After the preprocessing of the text image, we need to text localization.We need toknow of the knowledge of image segmentation. It is a very important in thispaper.Then the tilt correction is carried out in this paper. The tilt correction is tostraighten the text. It is very helpful.Character segmentation will divide the text into asingle character.The quality of the segmentation will directly influence on therecognition.This paper use Template Matching Algorithm to identify characters.Afterthe character recognition, this article use the method of the youdao dictionary totranslate the Chinese to English.After this system designed, it can effectively solve the problem.People who needthis technology.It can provide the corresponding help.I am very proud of finishing the system..Objectively,the recognition rate of thesystem can achieve a satisfactory results in the simple printed characters. But incomplex, or fuzzy, not clear images,the recognition rate will be affected. This is theplace where the system is not satisfied.In the follow-up work, I will try my best todeal with these problems.