Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

[HTML][HTML] Forensic comparison of fired cartridge cases: feature-extraction methods for feature-based calculation of likelihood ratios

N Basu, RS Bolton-King, GS Morrison - Forensic science international …, 2022 - Elsevier
We describe and validate a feature-based system for calculation of likelihood ratios from 3D
digital images of fired cartridge cases. The system includes a database of 3D digital images …

A fully automatic method for comparing cartridge case images

XH Tai, WF Eddy - Journal of forensic sciences, 2018 - Wiley Online Library
When a gun is fired, it leaves marks on cartridge cases that are thought to be unique to the
gun. In current practice, firearms examiners inspect cartridge cases for “sufficient …

Siamese ballistics neural network

O Giudice, L Guarnera, AB Paratore… - … on Image Processing …, 2019 - ieeexplore.ieee.org
Firearm identification is crucial in many investigative scenario. The crime scene often
contains traces left by firearms in terms of bullets and cartridges. Traces analysis is a …

[PDF][PDF] On the study of automated identification of firearms through associated striations

P Changmai, K Bora, R Suresh, N Deb… - Proc. 31st Int. Symp …, 2019 - academia.edu
Over the decades threats posed by anti-social elements involving the use of firearms and
ammunitions have been on a rise. This increases the need to trace the suspected firearm …

[HTML][HTML] Human and machine similarity judgments in forensic firearm comparisons

M Cuellar, C Gonzalez, IE Dror - Forensic science international: synergy, 2022 - Elsevier
It is unclear whether humans assess similarity differently than automated algorithms in
firearms comparisons. Human participants (untrained in firearm examination) were asked to …

Learning a similarity measure for striated toolmarks using convolutional neural networks

M Keglevic, R Sablatnig - 2016 - IET
We propose TripNet a method for calculating similarities between striated toolmarks. The
objective for this system is to distinguish the individual characteristics of tools while being …

Record linkage and matching problems in forensics

XH Tai - 2018 IEEE International conference on data mining …, 2018 - ieeexplore.ieee.org
In forensics, evidence such as DNA, fingerprints, bullets and cartridge cases, shoeprints or
digital evidence is often compared, to infer if they come from the same or different sources …

Automatically matching topographical measurements of cartridge cases using a record linkage framework

XH Tai, WF Eddy - arXiv preprint arXiv:2003.00060, 2020 - arxiv.org
Firing a gun leaves marks on cartridge cases which purportedly uniquely identify the gun.
Firearms examiners typically use a visual examination to evaluate if two cartridge cases …

Retrieval of striated toolmarks using convolutional neural networks

M Keglevic, R Sablatnig - IET Computer Vision, 2017 - Wiley Online Library
The authors propose TripNet as method for calculating similarities between striated toolmark
images. The objective for this system is detecting and comparing characteristics of the tools …