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Evaluation of Data Treatment Techniques for Improved Analysis of Fingerprint Images

NCJ Number
158068
Journal
Journal of Forensic Sciences Volume: 40 Issue: 5 Dated: (September 1995) Pages: 826-837
Author(s)
G P Vigo; D M Hueber; T Vo-Dinh
Date Published
1995
Length
10 pages
Annotation
This study evaluated four data treatment techniques for digital images of fingerprints.
Abstract
Lee's method and the Iterative Automated Noise Filtering method remove signal-independent additive noise from digital images of fingerprints. The low-pass and high-pass wavelet filtering methods, based on the wavelet transform, are used to reduce noise, as well as to enhance the information of the fingerprints, particularly details at the ridges. Experimental results, using data supplied by the Knoxville Police Department and recorded digitally, showed that the methods are effective in diverse cases and may have potential as forensic fingerprint analytical techniques. 9 figures, 1 table, and 29 references