Use of automated quality assessment algorithms in fingermark detection research – Application to IND/Zn vs DFO

Bonnaz, Bérénice; Champod, Christophe; Bécue, Andy

doi:10.1016/j.forsciint.2024.112069

Forensic Science International

2024

DOI: 10.1016/j.forsciint.2024.112069

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Use of automated quality assessment algorithms in fingermark detection research – Application to IND/Zn vs DFO

Bérénice Bonnaz,

Christophe Champod,

Andy Bécue

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Impact of illustrated backgrounds on the automatic assessment of fingermark quality

Bonnaz,

Bécue

2024

Journal of Forensic Sciences

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In the fingermark detection field, background illustrations may negatively impact the visibility of the marks in presence. They can indeed locally reduce the contrast or mask ridge details. When conducting a research project, the choice for plain or illustrated substrates is mostly driven by the research objectives as well as the development level of the investigated technique (e.g., new reagent, comparison between two techniques, semi‐operational test). Also, it is not clear how the human assessors in charge of grading the quality of the detected fingermarks actually cope with fingermarks standing astride background prints. In recent publications, latent quality metrics (LQM) and improved latent fingerprint quality metrics (ILFQM) algorithms have been identified as potential alternatives to traditional human assessment. The authors of the present study were therefore interested in assessing the performance of these algorithms with regards to illustrated backgrounds. To reach that goal, 480 fingermarks were deposited on porous (240) and non‐porous (240) items presenting various kinds of illustrations (e.g., colored areas, writings, geometric shapes, lines). Several detection techniques were then applied in sequence: 1,2‐indanedione/zinc + ninhydrin + physical developer for porous items, and superglue fuming followed by dye‐staining or black magnetic powder for non‐porous items. A total of 884 pictures were obtained and their quality assessed by LQM and ILFQM. The results were then analyzed to determine if background prints may influence the metrics provided both algorithms, and if yes, to which extent.

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Impact of illustrated backgrounds on the automatic assessment of fingermark quality

Bonnaz,

Bécue

2024

Journal of Forensic Sciences

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Use of automated quality assessment algorithms in fingermark detection research – Application to IND/Zn vs DFO

Cited by 1 publication

References 23 publications

Impact of illustrated backgrounds on the automatic assessment of fingermark quality

Impact of illustrated backgrounds on the automatic assessment of fingermark quality

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