By Topic

Application of the discrete wavelet transform to identification of questioned documents

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Levin, D. ; Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA ; Conn, R. ; Kam, Moshe

Identification of questioned documents (QDs) is the process of associating documents produced by an unknown writer with labeled archival samples. Here we use the discrete wavelet transform (DWT) to extract characteristics of letters and words of archival database samples, and questioned documents that need to be identified. Using standard clustering techniques, database document characteristics are categorized into distinct classes. These classes are labeled by the names of the known database writers. Identification of QDs is then made on the basis of the distance between QD characteristics and the database classes. We provide preliminary examples on a database of documents that was generated by nine writers. Seven different DWTs (and a voting scheme) were employed to make decisions about the QD's associations. The high success rate in identification of these samples indicates the potential that DWT-based method have in QD identification

Published in:

Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on

Date of Conference:

25-28 Oct 1994