A survey of image processing techniques and statistics for ballistic specimens in forensic science.

This paper provides a review of recent investigations on the image processing techniques used to match spent bullets and cartridge cases. It is also, to a lesser extent, a review of the statistical methods that are used to judge the uniqueness of fired bullets and spent cartridge cases. We review 2D and 3D imaging techniques as well as many of the algorithms used to match these images. We also provide a discussion of the strengths and weaknesses of these methods for both image matching and statistical uniqueness. The goal of this paper is to be a reference for investigators and scientists working in this field.

[1]  Jan De Kinder,et al.  Automated comparisons of bullet striations based on 3D topography , 1999 .

[2]  Jonathan J. Koehler,et al.  The Individualization Fallacy in Forensic Science Evidence , 2008 .

[3]  Wei Chu,et al.  Striation Density for Predicting the Identifiability of Fired Bullets with Automated Inspection Systems * , 2010, Journal of forensic sciences.

[4]  Nicholas D K Petraco,et al.  Statistical Discrimination of Footwear: A Method for the Comparison of Accidentals on Shoe Outsoles Inspired by Facial Recognition Techniques , 2010, Journal of forensic sciences.

[5]  P.E. Hart,et al.  How the Hough transform was invented [DSP History] , 2009, IEEE Signal Processing Magazine.

[6]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[7]  Niola Vincenzo,et al.  Wavelet analysis applied to the study of digitalized bullet striatures for the firearm identification: first evidences , 2006 .

[8]  H. B. Mann,et al.  On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[9]  A Statistical Validation of the Individuality of Guns Using High Resolution Topographical Images of Bullets , 2006 .

[10]  Richard O. Duda,et al.  Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.

[11]  S N Srihari.  Computing the scene of a crime , 2010, IEEE Spectrum.

[12]  David G. Stork,et al.  Pattern Classification , 1973 .

[13]  Zhigang Zhou,et al.  Statistical Tools for Forensic Analysis of Toolmarks , 2004 .

[14]  Berthold K. P. Horn.  Obtaining shape from shading information , 1989 .

[15]  Patrick De Smet,et al.  Experimental evaluation of the impact of seating depth variations on observed marks on primers. , 2008, Forensic science international.

[16]  Francis S. Hill,et al.  Computer Graphics Using Opengl, 3Rd Edition , 2015 .

[17]  P. Thumwarin.  An Automatic System for Firearm Identification , 2008, 2008 International Symposium on Communications and Information Technologies.

[18]  Francis J. Hill.  Computer Graphics Using Open GL , 1990 .

[19]  U. Breitmeier,et al.  Lasercomp: A surface measurement system for forensic applications , 1997 .

[20]  Zhihu Huang,et al.  An online ballistics imaging system for firearm identification , 2010, 2010 2nd International Conference on Signal Processing Systems.

[21]  J W Brackett,et al.  A study of idealized striated marks and their comparisons using models. , 1970, Journal - Forensic Science Society.

[22]  Jan De Kinder,et al.  Reference ballistic imaging database performance. , 2004, Forensic science international.

[23]  Ricardo Quirós,et al.  Automatic identification of weapons from images of the cartridge case head , 2008 .

[24]  T. Catterick,et al.  A photometric method for the quantitative mapping of parallel striated marks , 1987 .

[25]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[26]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[27]  C. L. Smith.  An intelligent imaging approach to the identification of forensic ballistics specimens , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[28]  Michael Heizmann,et al.  Automated analysis and comparison of striated toolmarks , 2001 .

[29]  Max Robinson,et al.  Ballistics imaging-latest developments , 1998, Proceedings IEEE 32nd Annual 1998 International Carnahan Conference on Security Technology (Cat. No.98CH36209).

[30]  Dongguang Li,et al.  Web based image database system for ballistic firearm identification , 2001, 2001 International Conferences on Info-Tech and Info-Net. Proceedings (Cat. No.01EX479).

[31]  Claude Roux,et al.  Statistics and the Evaluation of Evidence for Forensic Scientists, by Colin G. G. Aitken and Franco Taroni 2nd edition. John Wiley and Sons, 2004. , 2006 .

[32]  R. Nichols,et al.  Firearm and Toolmark Identification Criteria: A Review of the Literature , 1997 .

[33]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[34]  Zeno Geradts,et al.  Pilot investigation of automatic comparison of striation marks with structured light , 2001, SPIE Optics East.

[35]  Zeno Geradts,et al.  Pattern recognition in a database of cartridge cases , 1999, Other Conferences.

[36]  David Howitt,et al.  A Calculation of the Theoretical Significance of Matched Bullets , 2008, Journal of forensic sciences.

[37]  L Scott Chumbley,et al.  Validation of Tool Mark Comparisons Obtained Using a Quantitative, Comparative, Statistical Algorithm , 2010, Journal of forensic sciences.

[38]  Zeno Geradts,et al.  New developments in forensic image processing and pattern recognition , 2001 .

[39]  Anil K. Jain.  Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..

[40]  James M. Curran,et al.  Statistics in forensic science , 2009 .

[41]  Clifton L. Smith.  Linescan imaging of ballistics projectile markings for identification , 2002, Proceedings. 36th Annual 2002 International Carnahan Conference on Security Technology.

[42]  Natalie G Carpenter,et al.  An Examination Of A Three-Dimensional Automated Firearms Evidence Comparison System , 2004 .

[43]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[44]  Franco Taroni,et al.  Statistics and the Evaluation of Evidence for Forensic Scientists , 2004 .

[45]  G. Meek.  Mathematical statistics with applications , 1973 .

[46]  D. Casasent,et al.  Position, rotation, and scale invariant optical correlation. , 1976, Applied optics.

[47]  Rafael C. González,et al.  Digital image processing, 3rd Edition , 2008 .

[48]  Clifton L. Smith,et al.  Optical imaging techniques for ballistics specimens to identify firearms , 1995, Proceedings The Institute of Electrical and Electronics Engineers. 29th Annual 1995 International Carnahan Conference on Security Technology.

[49]  R. Ghauharali,et al.  Visualisation by confocal microscopy of traces on bullets and cartridge cases. , 2000, Science & justice : journal of the Forensic Science Society.

[50]  Son H. Bui,et al.  Applications of cross-correlation functions , 2011 .

[51]  D. G. Li.  Image processing for the positive identification of forensic ballistics specimens , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[52]  Max Robinson,et al.  Line-scan imaging for the positive identification of ballistics specimens , 2000, Proceedings IEEE 34th Annual 2000 International Carnahan Conference on Security Technology (Cat. No.00CH37083).

[53]  Christoph Brein.  Model-Based Segmentation of Impression Marks , 2005 .

[54]  Clifton L. Smith,et al.  Ballistics identification using line-scan imaging techniques , 1997, Proceedings IEEE 31st Annual 1997 International Carnahan Conference on Security Technology.

[55]  Steven A. Shafer,et al.  Shape recovery , 1992 .

[56]  Gang Rong,et al.  A cartridge identification system for firearm authentication , 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

[57]  Li Dongguang,et al.  Characteristic of a Bullet's Digital Images Under the Illumination of Different Wavelengths , 2007, 2007 8th International Conference on Electronic Measurement and Instruments.

[58]  David Zhang,et al.  Automated cartridge identification for firearm authentication , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[59]  Dongguang Li.  A New Approach for Firearm Identification with Hierarchical Neural Networks Based on Cartridge Case Images , 2006, 2006 5th IEEE International Conference on Cognitive Informatics.

[60]  Lawrence Genalo,et al.  Statistical Confirmation of Empirical Observations Concerning Tool Mark Striae , 2007 .

[61]  Wei Chu,et al.  Optimal compression and binarization of signature profiles for automated bullet identification systems , 2010, Scanning Microscopies.

[62]  Steven A. Shafer,et al.  Depth from focusing and defocusing , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[63]  J. Flusser,et al.  Moments and Moment Invariants in Pattern Recognition , 2009 .

[64]  J. Song,et al.  SRM 2460/2461 Standard Bullets and Casings Project , 2004, Journal of research of the National Institute of Standards and Technology.

[65]  C.L. Smith.  Profiling Toolmarks on Forensic Ballistics Specimens: An Experimental Approach , 2006, Proceedings 40th Annual 2006 International Carnahan Conference on Security Technology.

[66]  Jack Zhou,et al.  NIST bullet signature measurement system for RM (Reference Material) 8240 standard bullets. , 2004, Journal of forensic sciences.

[67]  Robert J. Woodham,et al.  Photometric method for determining surface orientation from multiple images , 1980 .

[68]  Hanan Samet,et al.  Efficient Component Labeling of Images of Arbitrary Dimension Represented by Linear Bintrees , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[69]  Wei Chu,et al.  An Iterative Image Registration Algorithm by Optimizing Similarity Measurement , 2010, Journal of research of the National Institute of Standards and Technology.

[70]  Katsushi Ikeuchi,et al.  Three dimensional visualization and comparison of impressions on fired bullets. , 2004, Forensic science international.

[71]  Zeno Geradts,et al.  Use of Correlation algorithms in a database of spent cartridge cases of firearms , 1999 .

[72]  Li Ma,et al.  Traceability for ballistics signature measurements in forensic science , 2009 .

[73]  Holly E. Rushmeier,et al.  The 3D Model Acquisition Pipeline , 2002, Comput. Graph. Forum.

[74]  Ufuk Sakarya,et al.  Three-dimensional surface reconstruction for cartridge cases using photometric stereo. , 2008, Forensic science international.

[75]  Bunch,et al.  Consecutive matching striation criteria: a general critique , 2000, Journal of forensic sciences.

[76]  Arturo Espinosa-Romero,et al.  A robust Graph Transformation Matching for non-rigid registration , 2009, Image Vis. Comput..

[77]  Ronald Nichols,et al.  The Scientific Foundations of Firearms and Tool Mark Identification – A Response to Recent Challenges , 2005 .

[78]  Craig D. Adam.  Essential Mathematics and Statistics for Forensic Science , 2010 .

[79]  Li Ma,et al.  A Metric for the Comparison of Surface Topographies of Standard Reference Material (SRM) Bullets and Casings | NIST , 2005 .

[80]  Fernando Puente Leon,et al.  Model-based analysis of striation patterns in forensic science , 2001, SPIE Optics East.

[81]  Zeno J. M. H. Geradts,et al.  Content-Based Information Retrieval from Forensic Databases , 2002 .

[82]  Zijun Feng,et al.  Automatic cartridge case image mosaic using SIFT and graph transformation matching , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[83]  Berthold K. P. Horn,et al.  Shape from shading , 1989 .

[84]  Dongguang Li,et al.  Intelligent Imaging of Forensic Ballistics Specimens for ID , 2008, 2008 Congress on Image and Signal Processing.

[85]  Chandan Mazumdar,et al.  Intensity‐based image matching for regular firearms , 2002, Int. J. Imaging Syst. Technol..

[86]  P. Thumwarin,et al.  Firearm identification based on FIR system characterizing rotation invariant feature of cartridge case image , 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

[87]  Dongguang Li.  Ballistics Projectile Image Analysis for Firearm Identification , 2006, IEEE Transactions on Image Processing.

[88]  Dongguang Li.  Firearm Identification System for Australian Police Services , 2008, 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop.

[89]  Dongguang Li.  Firearm Identification System Based on Ballistics Image Processing , 2008, 2008 Congress on Image and Signal Processing.

[90]  J Bijhold,et al.  Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms. , 2001, Forensic science international.

[91]  Nicola Senin,et al.  Three‐Dimensional Surface Topography Acquisition and Analysis for Firearm Identification , 2006, Journal of forensic sciences.

[92]  M. Page,et al.  Uniqueness in the forensic identification sciences--fact or fiction? , 2011, Forensic science international.

[93]  Christoph Brein,et al.  Segmentation of cartridge cases based on illumination and focus series , 2005, IS&T/SPIE Electronic Imaging.

[94]  J. De Kinder,et al.  Ballistic fingerprinting databases , 2002 .

[95]  Toni B Brinck.  Comparing the Performance of IBIS and BulletTRAX‐3D Technology Using Bullets Fired Through 10 Consecutively Rifled Barrels * , 2008, Journal of forensic sciences.

[96]  Ronald G Nichols.  Firearm and toolmark identification criteria: a review of the literature, part II. , 2003, Journal of forensic sciences.

[97]  Abdul Aziz Jemain,et al.  Analysis of geometric moments as features for firearm identification. , 2010, Forensic science international.

[98]  M. Newton,et al.  The Encyclopedia of American Law Enforcement , 2007 .

[99]  Clifton L. Smith.  Multi-dimensional cluster analysis of class characteristics for ballistics specimen identification , 2001, Proceedings IEEE 35th Annual 2001 International Carnahan Conference on Security Technology (Cat. No.01CH37186).

[100]  David L. Faigman.  Is Science Different for Lawyers? , 2002, Science.

[101]  G. E. Smith,et al.  Charge coupled semiconductor devices , 1970, Bell Syst. Tech. J..