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Applying Tesseract-OCR to detection of image spam mails

机译:应用TESSEACT-OCR检测图像垃圾邮件

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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.
机译:本文将TESSeract-OCR,光学字符识别软件应用于图像垃圾邮件过滤器。 TESSERACT-OCR可以特定于某种语言,本文使TESSERACT-OCR特定于垃圾邮件字。此专业化降低了检查邮件图像是否包括垃圾字词所需的时间和CPU功率。本文通过实验检查了TESSeract-OCR的垃圾邮件滤波器的能力。

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