Character Enhancement And Recognition Research Application In Complex Background

Multimedia data contains huge character information. Text enhancement and recognition is a vital and fundamental problem of processing images. In pace with the abundantly representative element and complex background, recognizing the characters in the image becomes more difficult work. In actual application, the character information is very important. They can rapidly and exactly deliver what the picture what's to say. So, extracting this information means too much.Firstly, this paper discuss the main backyards of character enhancement and recognition knowledge and analyze the popular technology in different level and feilds. Based on this, the paper introduce the primary object which is being studied. That is the binarization technology.Secondly, the paper analyze many popular binarization algorithms. We not only know the theory, but also program to achieve them in many experiments. By comparing them with the advantages and disadvantages, we can find that they are not suitable to the complex background information extracting work.Thirdly, the paper has proposed two innovations based on the existing technology. The first algorithm mainly puts focus on the IC chip whose surface is sensitive to the strength and angle of the light. Those degraded image can be well processed by the first algorithm. The second method is not only adapted to different color, font, language, but also getting rid of much non-text information and automatically changing the text to black and other white. Compared with other binary method, this one can highly raise the text recognition rate.At last, based on the two new binarization system, the paper has analyzed the advantages ,disadvantages, and the adapting fields. This work is good to the image processing field. At the same time, the binarization module is followed by a OCR module. the system can rapidly recognize the text information from the complex background.