research-article

Forensic ballistic analysis using a 3D sensor device

Authors:

Robert Fischer,

Claus VielhauerAuthors Info & Claims

MM&Sec '12: Proceedings of the on Multimedia and security

Pages 67 - 76

https://doi.org/10.1145/2361407.2361418

Published: 06 September 2012 Publication History

Abstract

The application of non-invasive optical 3D sensing technology for the acquisition of toolmarks and forensic traces from projectiles and cartridges is currently an emerging field of research. In this work we will present a first taxonomy of possible toolmarks on cartridges and projectiles that has been developed in cooperation with the German state police. Furthermore, we will introduce a concept of coarse- and detail-scan deduced from the domain of latent fingerprint analysis. There a coarse-scan is used for system determination as well as detection and localization of traces, and subsequent detail-scans are used for detailed evaluation of the detected toolmarks microstructure. In our research we use a laser-scanning confocal microscope to acquire a very high detail topography image, a laser-intensity image, and a color image of the assessed surface simultaneously. This allows the combination of 2D and 3D information for a more reliable analysis of the given specimens. Detailed description of the forensic ballistic process, the related work, the identified standards, and the potential useful toolmarks as well as characteristics, are given in the course of this publication. We further present a first evaluation that is based on the assumption that detailed laser-intensity and topography information of the analyzed cartridges will improve the segmentation of cartridge bottoms. Using an overall set of 18 cartridges from three different manufactures, fired by three different weapons; the first segmentation results show a very positive tendency compared to a processing that is merely based on the 2D color information. Furthermore, line-profile measurement is applied for the firing-pin impression. While the experiments are of preliminary nature the first results look promising.

References

[1]

Uchiyama, Tsuneo: Toolmark Reproducibility on Fired Bullets and Expended Cartridge Cases, AFTE Journal, Vol. 40, No. 1, 2008

[2]

Barret, Michael: Making the Case of 3D Ballistic Imaging Technology, Forensic Magazine, 2010

[3]

Cork, Daniel; Rolph, John; Meieran, Eugene; Petrie, Carol: Ballistic Imaging-Accuracy and Technical Capability of a National Ballistics Database, National ResearchCouncil, ISBN: 0-309-11725-9, 2008

[4]

Dillon, Jr. John H.: BulletTRAX-3D, MatchPoint Plus and the Firearms Examiner / Forensic Technology WAI Inc, Science report, 2005

[5]

Speck, Christoph: Automatisierte Auswertung forensischer Spuren auf Patronenhülsen, Institut für Mess- und Regelungstechnik Universität Karlsruhe, Dissertation, 2009 (german)

[6]

Barret, Michael; Warren, Gaylan: Portable Forensic Ballistic Examination Instrument: Advanced Ballistics Analysis System (ALIAS), AFTE Journal, Vol. 43 No. 1, 2011

[7]

EvoFinder Europe http://www.evofinder.com, last check: 19.06.2012

[8]

Bachrach, Benjamin: Development of a 3D-Based Automated Firearms Evidence Comparison System, Journal of Forensic Sciences, Vol. 47, No. 6, pp. 1253--1264, 2002

[9]

Bolton-King, Rachel; Evans, Paul; Smith, Clifton; Painter, Jonathon; Allsop, Derek; Cranton, Wayne: What are the Prospects of 3D Profiling Systems Applied to Firearms and Toolmark Identification?, AFTE Journal, Vol. 42, No. 1, 2010

[10]

Keyence Deutschland, http://www.keyence.de/products/microscope/microscope/vkx100_200/vkx100_200_specifications_1.php, last check: 02.05.2012

[11]

Heard, B.J., Handbook of Firearms and Ballistics: Examining and Interpreting Forensic Evidence, 2nd edition, Wiley 2008

[12]

Li, Dongguang: Ballistics Projectile Image Analysis for Firearm Identification, IEEE Transactions on Image Processing, pp: 2857--2865. 2006

Digital Library

[13]

Li, Dongguang:"Firearm Identification System Based on Ballistics Image Processing, Congress on Image and Signal Processing, pp. 149--154. 2008

Digital Library

[14]

Makrushin, Andrey; Hildebrandt, Mario; Dittmann, Jana; Clausing, Eric; Fischer, Robert; Vielhauer, Claus: 3D Imaging for Ballistics Analysis using Chromatic White Light Sensor, to appear in Proceedings of SPIE2012

[15]

M. Hildebrandt, J. Dittmann, M. Pocs, M. Ullrich, R. Merkel, T. Fries, Privacy preserving challenges -- new design aspects for latent fingerprint detection systems with contact-less sensors for future preventive applications in airport luggage handling, in Proc. of SPIE, vol. 6583, 2011

Digital Library

[16]

Schwartz, Adina: Challenging Firearms and Toolmark Identification, National Association of Criminal Defense Lawyers, Article, 2008

[17]

Smith, Clifton:"An Intelligent Imaging Approach to the Identification of Forensic Ballistics Specimens, Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on, vol.3, no., pp.390--396 vol.3. 2001

[18]

Smith, Clifton: Profiling Toolmarks on Forensic Ballistics Specimens: An Experimental Approach, Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International, pp. 281--286. 2006

[19]

Smith, C.L.; Robinson, M.; Evans, P.: Line-scan imaging for the positive identification of ballistics specimens, Security Technology, 2000. Proceedings. IEEE 34th Annual 2000 International Carnahan Conference on, pp. 269--275. 2000

[20]

AFTE: Theory of Identification, Range of Striae Comparison Reports and modified Glossary Definitions -- An AFTE Criteria for Identification Committee Report."AFTE Journal 24(3), 336--340, 1992

[21]

BKA:"Schusswaffensystembestimmung, Handbuch Bundeskriminalamt Wiesbaden, 1992 (german)

[22]

Biasotti, A.A.: A statistical Study of the individual Characteristics of fired Bullets, Journal of Forensic Sciences 4(1), 34--50, 1959

[23]

Biasotti, A.A.: A proposal for a Computer based Firearms class characteristics information system, Newsletter of the Association of Firearm and Tool Mark Examiners (5), 12--16, 1970

[24]

Biasotti, A.A.; Murdock J.E.: Firearms and toolmark identification -- Scientific Issues., Pp. 205--230 (Chapter 4, Section 4--2) in D. Faigman, D.H. Kaye, M.J. Saks and J. Sanders (Eds.) "Modern Scientific Evidence: The Law and Science of Expert Testimony.", St. Paul, West Group Publishing Company, 2002

[25]

Conrad, William; Dillon, John H.; Hamby, James; Hill, Greg; Jones, J. A. ; Savage, Kathleen; Tilstone, William: Firearm Examiner Training.

[26]

Otsu, Nobuyuki: "A threshold selection method from gray-level histograms". IEEE Trans. Sys., Man., Cyber. 9 (1): 62--66. 1979

[27]

Gonzales Rafael; Woods Richard; Eddins Steven,"Digital Image Processing using MATLAB, Pearson Education - Prentice Hall, ISBN: 978-0130085191, 2004

[28]

AFroge.NET Image Processing Framework http://www.aforgenet.com/, last check: 21.06.2012

[29]

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I. H.:"The WEKA Data Mining Software: An Update,"SIGKDD Explorations 11(1), pp. 10--18 (2009)

Digital Library

[30]

Brent, Martin: Instance-Based learning: Nearest Neighbor With Generalization, Master-Thesis, University of Waikato, 1995

Cited By

De Alcaraz-Fossoul JNarowski M(2021)Latent Fingermark Aging in 3D: Uncovering Hidden Degradation PatternsTechnologies for Fingermark Age Estimations: A Step Forward10.1007/978-3-030-69337-4_6(159-204)Online publication date: 16-Jun-2021
https://doi.org/10.1007/978-3-030-69337-4_6
Roberge DBeauchamp ALévesque S(2019)Objective Identification of Bullets Based on 3D Pattern Matching and Line Counting ScoresInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800141940021433:11(1940021)Online publication date: 17-Oct-2019
https://doi.org/10.1142/S0218001419400214
Addinall KZeng WBills PWilcock PBlunt L(2019)The effect of primer cap material on ballistic toolmark evidenceForensic Science International10.1016/j.forsciint.2019.02.054298(149-156)Online publication date: May-2019
https://doi.org/10.1016/j.forsciint.2019.02.054
Show More Cited By

Index Terms

Forensic ballistic analysis using a 3D sensor device
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Document scanning
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition

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Published In

cover image ACM Conferences

MM&Sec '12: Proceedings of the on Multimedia and security

September 2012

184 pages

ISBN:9781450314176

DOI:10.1145/2361407

General Chair:
Chang-Tsun Li
University of Warwick, UK
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University, Germany
,
Stefan Katzenbeisser
Technische Universität Darmstadt, Germany
,
Scott Carver
SUNY Binghamton, USA

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 September 2012

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MM&Sec '12

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SIGMM

MM&Sec '12: Multimedia and Security Workshop

September 6 - 7, 2012

Coventry, United Kingdom

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

De Alcaraz-Fossoul JNarowski M(2021)Latent Fingermark Aging in 3D: Uncovering Hidden Degradation PatternsTechnologies for Fingermark Age Estimations: A Step Forward10.1007/978-3-030-69337-4_6(159-204)Online publication date: 16-Jun-2021
https://doi.org/10.1007/978-3-030-69337-4_6
Roberge DBeauchamp ALévesque S(2019)Objective Identification of Bullets Based on 3D Pattern Matching and Line Counting ScoresInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800141940021433:11(1940021)Online publication date: 17-Oct-2019
https://doi.org/10.1142/S0218001419400214
Addinall KZeng WBills PWilcock PBlunt L(2019)The effect of primer cap material on ballistic toolmark evidenceForensic Science International10.1016/j.forsciint.2019.02.054298(149-156)Online publication date: May-2019
https://doi.org/10.1016/j.forsciint.2019.02.054
Arndt CKiltz SDittmann JFischer RAlattar AFridrich JSmith NAlfaro P(2015)ForeMan, a Versatile and Extensible Database System for Digitized Forensics Based on Benchmarking PropertiesProceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security10.1145/2756601.2756615(91-96)Online publication date: 17-Jun-2015
https://dl.acm.org/doi/10.1145/2756601.2756615
Fischer RVielhauer CUnterweger AUhl AKatzenbeisser SKwitt RPiva A(2014)Digital crime scene analysisProceedings of the 2nd ACM workshop on Information hiding and multimedia security10.1145/2600918.2600930(77-82)Online publication date: 11-Jun-2014
https://dl.acm.org/doi/10.1145/2600918.2600930
Fischer RVielhauer C(2013)Non-invasive, optical latent fingerprint acquisition from cartridge casings: A first feasibility study using a laser-scanning confocal microscope2013 18th International Conference on Digital Signal Processing (DSP)10.1109/ICDSP.2013.6622732(1-6)Online publication date: Jul-2013
https://doi.org/10.1109/ICDSP.2013.6622732

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