DocumentCode
2487570
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
fYear
2010
fDate
22-23 May 2010
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IWISA.2010.5473727
Filename
5473727
Link To Document