.: Click here to download :.
Fingerprint-based identification has been the oldest biometric technique successfully used in conventional crime investigation. The unique, immutable
patterns of a fingerprint—the pattern of ridges and furrows as well as the minutiae points—can help a crime investigator infer the identities of suspects.
However, circumstances have changed
since the emergence and rapid proliferation
of cybercrime. Generally, cybercrime
includes Internet fraud, computer hacking/network intrusion, cyber piracy,
spreading of malicious code, and so on.
Cyber criminals post online messages over
various Web-based channels to distribute
illegal materials, including pirated software,
child pornography, and stolen property.
Moreover, international criminals and terrorist organizations such as Osama bin
Laden and Al Qaeda use online messages as
one of their major communication media.
Since people are not usually required to
provide their real identity in cyberspace, the anonymity makes identity tracing a critical
problem in cybercrime investigation. This
problem is further complicated by the sheer
amount of cyber users and activities.
Unlike conventional crimes, there are no
fingerprints to be found in cybercrime. Fortunately, there is another type of print,
which we call “writeprint,” hidden in people’s writings. Similar to a fingerprint, a
writeprint is composed of multiple features,
such as vocabulary richness, length of sentence, use of function words, layout of
paragraphs, and keywords. These
writeprint features can represent an author’s
writing style, which is usually consistent
across his or her writings, and further become the basis of authorship analysis.
Code has been successfully tested on Reuter_50_50 Data Set.
The training corpus consists of 2,500 texts (50 per author) and the test corpus includes
other 2,500 texts (50 per author) non-overlapping with the training texts.
Index Terms: Matlab, source, code, writeprint, recognition, identification, writings, authorship, analysis.
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Figure 1. Text analysis |
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A simple and effective source code for Writeprint Recognition System. |
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Release |
Date |
Major features |
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1.0 |
2013.03.06 |
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We recommend to check the secure connection to PayPal, in order to avoid any fraud. This donation has to be considered an encouragement to improve the code itself. |
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Writeprint Recognition System. Click here for
your donation. In order to obtain the source code you
have to pay a little sum of money: 180 EUROS (less
than 252 U.S. Dollars). |
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Once you have done this, please email us luigi.rosa@tiscali.it As soon as possible (in a few days) you will receive our new release of Writeprint Recognition System. Alternatively, you can bestow using our banking coordinates:
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The authors have no relationship or partnership
with The Mathworks. All the code provided is written in Matlab
language (M-files and/or M-functions), with no dll or other
protected parts of code (P-files or executables). The code was
developed with Matlab 14 SP1. Matlab is required.
The code provided has to be considered "as is" and it is without any kind of warranty. The
authors deny any kind of warranty concerning the code as well
as any kind of responsibility for problems and damages which may
be caused by the use of the code itself including all parts of
the source code.
