Using SIFT for the filtering of Chinese text in image of multimedia message service

Authors:
ChunXiao Ma;Chuang Zhang;ZhiQing Lin
Affiliations:
Pattern Recognition & Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China;Pattern Recognition & Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China;Pattern Recognition & Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

With the popularity of MMS, the multimedia messages which include sensitive information are increasing rapidly. 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. The method has a good practical application value.