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Optical Character Recognition
Bílek, Jan ; Žák, Pavel (referee) ; Zuzaňák, Jiří (advisor)
This work describes problems of optical character recognition and methods which are used to improve its results. It specializes in problems of image spam and its adjustment for its recognition. This work describes methods of processing an image which leads to better results of text recognition and also some methods used to the character recognition. There is also described a scheme and an implementation of a system which processes an image spam and detects a text within it.
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Spam Filter Implementation on the Basis of Artificial Immune Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Unsolicited e-mails generally present a major problem within the e-mail communication nowadays. There exist several methods that can detect spam and distinguish it from the requested messages. The theoretical part of the masters thesis introduces the ways of detecting unsolicited messages by using artificial immune systems. It presents and subsequently analyses several methods of the artificial immune systems that can assist in the fight against spam. The practical part of the masters thesis deals with the implementation of a spam filter on the basis of the artificial immune systems. The project ends with comparison of effectiveness of the newly designed spam filter and the one which uses common methods for spam detection.
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Optical Character Recognition
Bílek, Jan ; Žák, Pavel (referee) ; Zuzaňák, Jiří (advisor)
This work describes problems of optical character recognition and methods which are used to improve its results. It specializes in problems of image spam and its adjustment for its recognition. This work describes methods of processing an image which leads to better results of text recognition and also some methods used to the character recognition. There is also described a scheme and an implementation of a system which processes an image spam and detects a text within it.
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Spam Filter Implementation on the Basis of Artificial Immune Systems
Neuwirth, David ; Schwarz, Josef (referee) ; Sekanina, Lukáš (advisor)
Unsolicited e-mails generally present a major problem within the e-mail communication nowadays. There exist several methods that can detect spam and distinguish it from the requested messages. The theoretical part of the masters thesis introduces the ways of detecting unsolicited messages by using artificial immune systems. It presents and subsequently analyses several methods of the artificial immune systems that can assist in the fight against spam. The practical part of the masters thesis deals with the implementation of a spam filter on the basis of the artificial immune systems. The project ends with comparison of effectiveness of the newly designed spam filter and the one which uses common methods for spam detection.
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Detection of SPAM Messages in Mobile Communication and Social Networks
Jaroš, Ján ; Rychlý, Marek (referee) ; Očenášek, Pavel (advisor)
This thesis deals with spam in mobile and social networks. It focuses on spam in SMS messages and web service Twitter. Theoretical part provides brief overview of those two media, informations about what spam is, how to defend against it and where does it comes from. There is also a list of methods for spam detection, many of them have their roots in filtration of email communication. The rest of thesis is about design, implementation of application for spam detection in SMS and Twitter messages and evaluation of its performance.
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