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Time is Money or Money is Time? A Rapid Operational Sequence for Detecting Fingermarks on Polymer Banknotes.

Ravell Bengiat^1,2, Yakir Liptz³, Nora Rajs¹

¹Latent Fingerprint Laboratory, Division of Identification and Forensic Science (DIFS), Israel Police, National H.Q., Jerusalem, 9780204, Israel.

Journal of Forensic Sciences

|June 17, 2020

Summary

Forensic scientists can improve fingermark detection on polymer banknotes using cyanoacrylate fuming (CA) and reflected UV imaging (RUVIS). This method offers a 75% success rate, significantly enhancing criminal investigations.

Keywords:

RUVIS cyanoacrylate fuming latent fingermarks polymer banknotes short-wave UV

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Area of Science:

Forensic Science
Analytical Chemistry

Background:

Banknotes are frequently recovered from high-profile crimes, posing challenges for forensic fingermark development.
Complex banknote backgrounds (color, pattern, topography) and large quantities hinder standard fingermark detection methods.

Purpose of the Study:

To identify an efficient operational sequence for developing and processing fingermarks on polymer banknotes.
To minimize the time required for fingermark development and subsequent image analysis.

Main Methods:

Developed 32 fingermarks using vacuum metal deposition (VMD), black magnetic powder, and cyanoacrylate fuming (CA).
Visualized and imaged fingermarks using reflected short-wave UV (RUVIS).
Tested image quality and feature accuracy using an automatic fingerprint identification system (AFIS).

Main Results:

Cyanoacrylate fuming (CA) combined with RUVIS imaging demonstrated a 75% success rate, outperforming VMD and magnetic powder, especially in challenging background conditions.
RUVIS imaging effectively neutralized background interference, leading to higher contrast fingermarks.
AFIS analysis confirmed RUVIS superiority, correctly identifying 63% of initial marked features as genuine fingermarks.

Conclusions:

The CA and RUVIS sequence is an optimal method for developing fingermarks on polymer banknotes and similar surfaces.
RUVIS enables simultaneous visualization and image capture, significantly reducing processing time.