Color separation in forensic image processing using interactive differential evolution.
Color separation is an image processing technique that has often been used in forensic applications to differentiate among variant colors and to remove unwanted image interference. This process can reveal important information such as covered text or fingerprints in forensic investigation procedures. However, several limitations prevent users from selecting the appropriate parameters pertaining to the desired and undesired colors. This study proposes the hybridization of an interactive differential evolution (IDE) and a color separation technique that no longer requires users to guess required control parameters. The IDE algorithm optimizes these parameters in an interactive manner by utilizing human visual judgment to uncover desired objects. A comprehensive experimental verification has been conducted on various sample test images, including heavily obscured texts, texts with subtle color variations, and fingerprint smudges. The advantage of IDE is apparent as it effectively optimizes the color separation parameters at a level indiscernible to the naked eyes.
Department of Electrical and Computer Engineering, University of Ontario Institute of Technology (UOIT), 2000 Simcoe Street North (ACE-2026), Oshawa, ON, L1H 7K4, Canada.
Harris
H
Mushtaq
Shahryar
S
Rahnamayan
Areeb
A
Siddiqi
color separation; document examination; fingerprint recognition; forensic science; image processing; ink discrimination; interactive differential evolution; interactive evolutionary computation; optimization; sequential differential evolution; uncovered text recognition