Study On Technology Of Classified Text Detection In Complex Image

With the rapid development of computer science and technology and the Internet,computer leaks have occurred frequently,and various forms of disclosure have seriously threatened the interests of enterprises and individuals.The image contains a large amount of information,and the content of the image is also very rich.The information expressed by the image with text can be more targeted and purposeful.Therefore,in the work of secret inspection,it is a very important step to identify the classified text contained in the image.In complex background images,the classified text is often hidden in the complex image environment,which makes text detection more difficult.In view of this situation,how to detect the text contained in the image in the interference of complex background is the main work of this thesis.In this thesis,in view of the above situation,this thesis proposes a novel secret text recognition in complex background algorithm,adaptive algorithm to classify the image to be processed,if the image is in simple background,in the pre-processing after direct OCR matching string plus can recognize the secret text;if the image with complex background in this thesis,a combination of text detection and image matching algorithm.Firstly,the image is processed from text location,text segmentation,OCR recognition and string matching.Then,an image matching method based on SURF algorithm is used.This algorithm has a high recognition rate for various types of images,can accurately identify the complex background image in the classified text,this algorithm can for the classified image does not contain text matching identification.Experiments show that the algorithm has a high recognition rate for complex background images with different conditions.Moreover,this algorithm has good practical value.