From fingerprint to writeprint

L. I. Jiexun, Rong Zheng, Hsinchun Chen

Research output: Contribution to journalArticle

108 Scopus citations

Abstract

Writeprint-based identification is getting very popular in crime investigations due to increasing cybercrime incidents, and unavailability of fingerprints in cybercrime. 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 become the basis of authorship analysis. A GA-baased feature selection model to identify writeprint features, can generate different combinations of features to achieve the highest fitness value. These selected key feature of writeprint, corresponding to the high accuracy of classification, is able to effectively represent the distinct writing style of author and can assist in identifying the authorship of online messages.

Original languageEnglish (US)
Pages (from-to)76-82
Number of pages7
JournalCommunications of the ACM
Volume49
Issue number4
Publication statusPublished - 2006

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ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design
  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics

Cite this

Jiexun, L. I., Zheng, R., & Chen, H. (2006). From fingerprint to writeprint. Communications of the ACM, 49(4), 76-82.