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Color Separation in Forensic Image Processing
Author(s) -
Berger Charles E. H.,
Koeijer Jan A.,
Glas Wendy,
Madhuizen Henk T.
Publication year - 2006
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2005.00020.x
Subject(s) - computer vision , artificial intelligence , fingerprint (computing) , computer science , adobe photoshop , feature (linguistics) , deconvolution , computer graphics (images) , image processing , false color , software , pattern recognition (psychology) , color image , image (mathematics) , algorithm , linguistics , philosophy , programming language
In forensic image processing, it is often important to be able to separate a feature from an interfering background or foreground, or to demonstrate colors within an image to be different from each other. In this study, a color deconvolution algorithm that could accomplish this task is described, and it is applied to color separation problems in document and fingerprint examination. Subtle color differences (sometimes invisible to the naked eye) are found to be sufficient, which is demonstrated successfully for several cases where color differences were shown to exist, or where colors were removed from the foreground or background. The software is available for free in the form of an Adobe ® Photoshop ® ‐compatible plug‐in.