Classification of pistol via numerical based features of firing pin impression image

Nor Azura Md Ghani, Saadi Bin Ahmad Kamaruddin, Choong Yeun Liong, Abdul Aziz Jemain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A lot of current crime cases have been reported to involve pistols, among other firearms. The whole firing pin impression image on a cartridge case is one of the most substantial clues for firearms identification. In this study, a total of 16 features of geometric moments up to the sixth order were extracted from the entire firing pin impression images. All five pistols of the Parabellum Vector SPI 9mm model, manufactured in South Africa were used. The pistols were marked Pistol A, Pistol B, Pistol C, Pistol D, and Pistol E. A total of 747 bullets have been launched from the five pistols. Under an initial analysis, Pearson correlation coefficients between all pairs of features have demonstrated that the features were significant and that the features were inter-related. These problematic featureswere solved by dividing the features into subgroups of variables based on the same characteristics under the principle component analysis. The features that are highly correlated were brought together into meaningful components or factors. Discriminant analysis was applied for the identification of the types of pistols used based on the factors obtained. Classification results using cross-validation under the discriminant analysis pointed that 65.7% of the images were rightly classified according to the pistols used.

Original languageEnglish
Title of host publicationIEEE Symposium on Computers and Informatics, ISCI 2013
PublisherIEEE Computer Society
Pages165-169
Number of pages5
ISBN (Print)9781479902101
DOIs
Publication statusPublished - 2013
Event2013 IEEE Symposium on Computers and Informatics, ISCI 2013 - Langkawi
Duration: 7 Apr 20139 Apr 2013

Other

Other2013 IEEE Symposium on Computers and Informatics, ISCI 2013
CityLangkawi
Period7/4/139/4/13

Fingerprint

Discriminant analysis
Crime

Keywords

  • discriminant analysis
  • firearm identification
  • firing pin impression
  • geometric moment
  • principle component analysis

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Information Systems

Cite this

Md Ghani, N. A., Ahmad Kamaruddin, S. B., Liong, C. Y., & Jemain, A. A. (2013). Classification of pistol via numerical based features of firing pin impression image. In IEEE Symposium on Computers and Informatics, ISCI 2013 (pp. 165-169). [6612396] IEEE Computer Society. https://doi.org/10.1109/ISCI.2013.6612396

Classification of pistol via numerical based features of firing pin impression image. / Md Ghani, Nor Azura; Ahmad Kamaruddin, Saadi Bin; Liong, Choong Yeun; Jemain, Abdul Aziz.

IEEE Symposium on Computers and Informatics, ISCI 2013. IEEE Computer Society, 2013. p. 165-169 6612396.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Md Ghani, NA, Ahmad Kamaruddin, SB, Liong, CY & Jemain, AA 2013, Classification of pistol via numerical based features of firing pin impression image. in IEEE Symposium on Computers and Informatics, ISCI 2013., 6612396, IEEE Computer Society, pp. 165-169, 2013 IEEE Symposium on Computers and Informatics, ISCI 2013, Langkawi, 7/4/13. https://doi.org/10.1109/ISCI.2013.6612396
Md Ghani NA, Ahmad Kamaruddin SB, Liong CY, Jemain AA. Classification of pistol via numerical based features of firing pin impression image. In IEEE Symposium on Computers and Informatics, ISCI 2013. IEEE Computer Society. 2013. p. 165-169. 6612396 https://doi.org/10.1109/ISCI.2013.6612396
Md Ghani, Nor Azura ; Ahmad Kamaruddin, Saadi Bin ; Liong, Choong Yeun ; Jemain, Abdul Aziz. / Classification of pistol via numerical based features of firing pin impression image. IEEE Symposium on Computers and Informatics, ISCI 2013. IEEE Computer Society, 2013. pp. 165-169
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