Artificial Intelligence-based Software for the Smart Molecular Imaging of Fingermarks

Summary

Fingermarks are a still primary form of evidence in any crime (and are particularly important in major crimes). This collection refers to a project funded by DASA UK regarding the engineering of a TRL 6 software the specific processing of crime scenes fingermark through of Matrix Assisted Laser Desorption Ionisation Mass Spectrometry Imaging (MALDI MSI). The software integrates artificial intelligence for the smart and fast provision of the highest quality fingermark images for National Database comparison and match, offering an increased likelihood of suspect identification. The Collection specifically includes: a) project background, aims, objectives and hypotheses; b) the machine learning algorithm (code) developed to assign a Scotland Yeard grade to each MALDI MS image of fingermark recovered; c) detailed information on the scripts, files, and folders used, along with the file structure and naming conventions (data level documentation (pdf). The metadata file (.xls) contains two sheets: one for the code scripts and another for the images.

Alternative title: SMIF
Keywords: Fingerprints, MALDI, Imaging, AI, software, biometrics
Creators:
Contributors:
Academic units: Faculty of Health and Wellbeing (HWB) > Research Centres > Biomolecular Sciences Research Centre (BSRC)
Funders:
Funder NameGrant NumberFunder ID
Defence and Security AcceleratorACC2036403https://doi.org/10.13039/100012339
Copyright Holders: Sheffield Hallam University, University of Bradford
Publisher of the data: SHU Research Data Archive (SHURDA)
Publication date: 31 March 2025
Data last accessed: No data downloaded yet
Embargo expiry date: 1 April 2026
DOI: http://doi.org/10.17032/shu-0000000238
SHURDA URI: https://shurda.shu.ac.uk/id/eprint/238

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