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Fingermark visualisation on uncirculated £5 (Bank of England) polymer notes: Initial process comparison studies
Rory P Downham1, Eleigh R Brewer2, Roberto S P King3
1CAST, Woodcock Hill, Sandridge, St. Albans, Herts, AL4 9HQ, UK.
Forensic Science International
|March 16, 2017
Summary
This study evaluated 14 fingermark visualization techniques on new Bank of England £5 polymer banknotes. fpNatural® 2, multimetal deposition, and Wet Powder™ Black were most effective for revealing latent prints.
Area of Science:
- Forensic Science
- Chemistry
- Materials Science
Background:
- Polymer banknotes present unique challenges for fingermark visualization due to their non-porous surface.
- Established fingermark visualization techniques may not be optimal for novel polymer substrates like the Bank of England's £5 note.
Purpose of the Study:
- To assess the efficacy of various fingermark visualization processes on new, uncirculated Bank of England £5 polymer banknotes.
- To identify the most effective methods for enhancing latent fingermarks on this specific currency.
Main Methods:
- Fourteen different fingermark visualization processes were applied to £5 polymer banknotes.
- Processes included standard 'Category A' methods and newer techniques like fpNatural® 2 powder and vacuum metal deposition.
- Fingermarks were examined under white light, fluorescence, reflected infrared imaging, and after lifting.
Main Results:
- fpNatural® 2, multimetal deposition, Wet Powder™ Black, iron oxide powder suspension, and black magnetic powder demonstrated high effectiveness.
- These top-performing methods remained effective when combined with infrared imaging and lifting techniques.
- Results varied slightly depending on the specific visualization process and viewing conditions.
Conclusions:
- Several fingermark visualization techniques show significant promise for use on Bank of England £5 polymer banknotes.
- Further research is recommended to develop comprehensive operational guidance for forensic practitioners.
- The study provides foundational data for optimizing fingermark detection on polymer currency.