Title :
A Method for Spam Fax Detection and Classification Based on Clustering
Author :
Li Qing ; Yu Hong-tao ; Li Peng
Author_Institution :
Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
Abstract :
In order to overcome the problem that the fax server was inadequate on the spam fax prevention, this paper provided a spam fax detection and classification method based on clustering. The method took advantage of behavioral characteristics of spam fax. And it separated spam faxes from normal faxes with clustering method on the basis of the skew detection. Then use OCR keywords recognition technology to classify spam faxes once again. This method is simple to implement with high accuracy, and it has applied successfully.
Keywords :
facsimile; optical character recognition; pattern clustering; unsolicited e-mail; OCR keywords recognition technology; behavioral characteristics; clustering based classification; fax server; skew detection; spam fax detection method; Advertising; Character generation; Character recognition; Clustering methods; Communications technology; Large-scale systems; Optical character recognition software; Switching systems; Systems engineering and theory; Unsolicited electronic mail;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473727