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Source code for fingerprint recognition, face recognition and much more


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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.

 

 

 

 

Figure 1. Text analysis



A simple and effective source code for Writeprint Recognition System.

Release
Date
Major features
1.0

2013.03.06



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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.

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