Applying Tesseract-OCR to detection of image spam mails

Daisuke Yamakawa, N. Yoshiura
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引用次数: 7

Abstract

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.
应用Tesseract-OCR检测图像垃圾邮件
本文将光学字符识别软件Tesseract-OCR应用于图像垃圾邮件过滤。Tesseract-OCR可以特定于某种语言,本文将Tesseract-OCR特定于垃圾单词。这种专门化减少了检查邮件图像是否包含垃圾邮件单词所需的时间和CPU功率。本文通过实验检验了Tesseract-OCR的垃圾邮件过滤能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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