X. Zheng, J. Soons, R. Thompson, Sushama Singh, Cerasela Constantin
{"title":"NIST Ballistics Toolmark Research Database","authors":"X. Zheng, J. Soons, R. Thompson, Sushama Singh, Cerasela Constantin","doi":"10.6028/jres.125.004","DOIUrl":null,"url":null,"abstract":"In 2009, a report by the National Academies called into question, amongst other\n issues, the objectivity of visual toolmark identification by firearms examiners. The\n National Academies recommended development of objective toolmark identification criteria\n and error rate estimates. Industry, academia, and government laboratories are pursuing\n two promising approaches towards this goal: 1) development of mathematical criteria and\n advanced algorithms for the objective and automated identification and scoring of\n potential matches, and 2) supplementing traditional reflectance microscopy images with\n three- dimensional surface topography measurement data. Development and validation of\n both these approaches to objective toolmark identification are hindered by a lack of\n access to toolmark data sets that 1) represent the large variety of ballistic toolmarks\n encountered by toolmark examiners, and 2) represent challenging identification\n scenarios, such as those posed by consecutively manufactured firearms components. The\n NIST Ballistics Toolmark Research Database enables researchers to test and validate new\n approaches to objective, mathematics-based, toolmark identification while easing the\n transition to three- dimensional surface topography data. The database will provide a\n foundation for a scientific knowledge base on the degree of similarity that can be found\n between marks made by different firearms and the variability in marks made by an\n individual firearm. The current, fairly limited, knowledge base is a fundamental barrier\n to the development and validation of objective mathematical similarity criteria, and\n associated confidence limits, applicable to a broad range of firearms and ammunition\n brands.","PeriodicalId":54766,"journal":{"name":"Journal of Research of the National Institute of Standards and Technology","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2020-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research of the National Institute of Standards and Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.6028/jres.125.004","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 6
Abstract
In 2009, a report by the National Academies called into question, amongst other
issues, the objectivity of visual toolmark identification by firearms examiners. The
National Academies recommended development of objective toolmark identification criteria
and error rate estimates. Industry, academia, and government laboratories are pursuing
two promising approaches towards this goal: 1) development of mathematical criteria and
advanced algorithms for the objective and automated identification and scoring of
potential matches, and 2) supplementing traditional reflectance microscopy images with
three- dimensional surface topography measurement data. Development and validation of
both these approaches to objective toolmark identification are hindered by a lack of
access to toolmark data sets that 1) represent the large variety of ballistic toolmarks
encountered by toolmark examiners, and 2) represent challenging identification
scenarios, such as those posed by consecutively manufactured firearms components. The
NIST Ballistics Toolmark Research Database enables researchers to test and validate new
approaches to objective, mathematics-based, toolmark identification while easing the
transition to three- dimensional surface topography data. The database will provide a
foundation for a scientific knowledge base on the degree of similarity that can be found
between marks made by different firearms and the variability in marks made by an
individual firearm. The current, fairly limited, knowledge base is a fundamental barrier
to the development and validation of objective mathematical similarity criteria, and
associated confidence limits, applicable to a broad range of firearms and ammunition
brands.
期刊介绍:
The Journal of Research of the National Institute of Standards and Technology is the flagship publication of the National Institute of Standards and Technology. It has been published under various titles and forms since 1904, with its roots as Scientific Papers issued as the Bulletin of the Bureau of Standards.
In 1928, the Scientific Papers were combined with Technologic Papers, which reported results of investigations of material and methods of testing. This new publication was titled the Bureau of Standards Journal of Research.
The Journal of Research of NIST reports NIST research and development in metrology and related fields of physical science, engineering, applied mathematics, statistics, biotechnology, information technology.