Research And Implementation On The Technology Of The Filtering Of Chinese Text In Image Of Multimedia Message Based On Feature Mixture

With the development of the popularity of the mobile phone and the telecommunication technology, mobile telecommunication is becoming an essential part in our life. Short message is the most frequent way in the field of mobile services for its low cost and its convenience. The number of short message is increased sharply because of the rapid growth. At the same time, it brings some bad effects. These effects had became harmer to the young people.For these reasons, in the paper, a novel framework of a MMS filtering for Chinese sensitive text in image is presented. An effective method is applied to detect and filter sensitive texts in image of multimedia message which could easily be transmitted through the mobile communication network without being monitored at recent stage. The detection and recognition of sensitive text are achieved by using SIFT feature, which is proper to the characteristics of the text in image of multimedia message and get an accurate result.Recalling the MMS image filter the status quo, and the right image spam filtering methods to conduct investigations and used in conjunction with MMS filtering methods comparison and integration. Of the proposed system within the framework of image-sensitive word filtering method for the detailed design, and PC-based simulation platform built as well as the DEMO demonstration system. Describes the characteristics of the background of HARR-based de-noising method and mobile phone based on feature fusion MMS pretreatment technology, including the B-spline interpolation, edge noise, salt and pepper noise removal and image morphological processing technology, and this method is applied to The filter method. Based on this filtration system, presents a statistical pattern recognition based on SIFT feature classification method.Described in the text for image analysis image matching method-SIFT matching and template matching methods, and embedded in this system compared to experimental According to experimental design method to generate a font set of 3775 training images, collect samples of 500 test positive and negative samples of 500, and the outcome of the data used in the experiment as well as system performance analysis.In conclusion, The method has a good practical application value. This paper is mainly based on natural scene/very natural scene image text detection and content analysis as the center and right pictures in MMS-sensitive text filtration system design and the design and implementation of each module to do the exploration and research, build demonstration system, and achieved a certain degree of theoretical research results.