Quantitative assessment of the fingerprint evidential value using machine learning.

Xu J, Li M, Chen W, Yuan C

DOI: 10.1016/j.scijus.2026.101498
Published: 2026 Sep
Container: Science & justice : journal of the Forensic Science Society
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.scijus.2026.101498,
  title = {Quantitative assessment of the fingerprint evidential value using machine learning.},
  author = {Xu J and Li M and Chen W and Yuan C},
  year = {2026},
  journal = {Science \& justice : journal of the Forensic Science Society},
  doi = {10.1016/j.scijus.2026.101498},
  url = {https://doi.org/10.1016/j.scijus.2026.101498}
}

RIS

TY  - JOUR
TI  - Quantitative assessment of the fingerprint evidential value using machine learning.
AU  - Xu J
AU  - Li M
AU  - Chen W
AU  - Yuan C
PY  - 2026
JO  - Science & justice : journal of the Forensic Science Society
DO  - 10.1016/j.scijus.2026.101498
UR  - https://doi.org/10.1016/j.scijus.2026.101498
ER  -

APA

J, X., M, L., W, C., & C, Y. (2026). Quantitative assessment of the fingerprint evidential value using machine learning.. Science & justice : journal of the Forensic Science Society. https://doi.org/10.1016/j.scijus.2026.101498

Source records

pubmed · retrieved 2026-09-26T09:14:25.334Z