Application of Machine Learning to Toolmarks: Statistically Based Methods for Impression Pattern Comparisons
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Summary
The National Institute of Justice (NIJ) is the research, development and evaluation agency of the US Department of Justice dedicated to improving knowledge and understanding of crime and justice issues through science.
- Type
- book
- Published
- 2012-08-09
- Cited by
- 36
- References
- 81
- OpenAlex
- https://openalex.org/W2744278542
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:158918347
Keywords
Economic Justice, Agency (philosophy), Terrorism, Biometrics, Crime scene
References
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- Development of a 3D-based automated firearms evidence comparison system.
- Special Techniques Useful in Tool Mark Comparisons
- Automated Firearms Evidence Comparison: A Forensic Tool for Firearms Identification—An Update
- Computational Surface and Roundness Metrology
- Forensic Science: An Introduction to Criminalistics
- A New Approach to Automatic Comparison of Striation Marks
- Large-scale inference
- Statistical analysis of barefoot impressions.
- Confocal Microscopy
- Google's PageRank and Beyond
- Validation of Tool Mark Comparisons Obtained Using a Quantitative, Comparative, Statistical Algorithm
- Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry
- Estimation of bullet striation similarity using neural networks.
- Automated comparisons of bullet striations based on 3D topography
- Three dimensional visualization and comparison of impressions on fired bullets.
- Simulation of 3D Gaussian surface topography
- Comparing the Performance of IBIS and BulletTRAX‐3D Technology Using Bullets Fired Through 10 Consecutively Rifled Barrels *
- A Calculation of the Theoretical Significance of Matched Bullets
- Evaluation and comparison of casting materials in forensic sciences Applications to tool marks and foot/shoe impressions
Cited by
- Virtual Tool Mark Generation for Efficient Striation Analysis ,
- Objective Comparison of Toolmarks from the Cutting Surfaces of Slip-Joint Pliers
- Objective forensic analysis of striated, quasi-striated and impressed toolmarks
- Objective Analysis of Impressed Chisel Toolmarks
- Optimization of a Statistical Algorithm for Objective Comparison of Toolmarks
- Virtual and simulated striated toolmarks for forensic applications.
- Topography measurements and applications in ballistics and tool mark identifications
- Development of a Mobile Toolmark Characterization/Comparison System
- Validation of Toolmark Comparisons Made At Different Vertical and Horizontal Angles
- Learning a similarity measure for striated toolmarks using convolutional neural networks
- Automatic Matching of Bullet Land Impressions
- FORMS-Locks: A Dataset for the Evaluation of Similarity Measures for Forensic Toolmark Images
- Retrieval of striated toolmarks using convolutional neural networks
- Algorithmic approaches to match degraded land impressions
- Estimating error rates for firearm evidence identifications in forensic science
- Identifying persistent and characteristic features in firearm tool marks on cartridge cases
- Quantitative Statistics and Identification of Tool‐Marks
- A 3D Characteristics Database of Land Engraved Areas with Known Subclass
- NIST Ballistics Toolmark Research Database
- Automated Firearm Classification From Bullet Markings Using Deep Learning
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