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Applying Tesseract-OCR to detection of image spam mails

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2 Author(s)
Yamakawa, D. ; Dept. of Inf. & Comput. Sci., Saitama Univ., Saitama, Japan ; Yoshiura, N.

This paper applies Tesseract-OCR, optical character recognition software, to image spam mail filters. Tesseract-OCR can be specific to a certain language and this paper makes Tesseract-OCR specific to spam words. This specialization decreases times and CPU power that it takes to check whether images of mails include spam words. This paper examines the ability of the spam mail filter of Tesseract-OCR by experiment.

Published in:

Network Operations and Management Symposium (APNOMS), 2012 14th Asia-Pacific

Date of Conference:

25-27 Sept. 2012