Fired bullet signature correlation using the Congruent Matching Profile Segments (CMPS) method.

We introduce the Congruent Matching Profile Segments (CMPS) method for objective comparison of striated tool marks and apply it to bullet signature correlations. The method is derived from the congruent matching cell (CMC) method developed for the comparison of impressed tool marks. The proposed met...

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Publicado en:Forensic Science International Vol. 305
Autores principales: Chen, Zhe, Chu, Wei, Soons, Johannes A., Thompson, Robert M., Song, John, Zhao, Xuezeng
Formato: Journal Article
Publicado: Elsevier B.V. Dec2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2019
      vid: 305
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      pub: Elsevier B.V.
      place: Philadelphia, Pennsylvania
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        10.1016/j.forsciint.2019.109964
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        atl: Fired bullet signature correlation using the Congruent Matching Profile Segments (CMPS) method.
      aug:
        au:
          Chen, Zhe
          Chu, Wei
          Soons, Johannes A.
          Thompson, Robert M.
          Song, John
          Zhao, Xuezeng
        affil: School of Mechatronics Engineering, Harbin Institute of Technology (HIT), Harbin, 150001, China
      sug:
      ab: We introduce the Congruent Matching Profile Segments (CMPS) method for objective comparison of striated tool marks and apply it to bullet signature correlations. The method is derived from the congruent matching cell (CMC) method developed for the comparison of impressed tool marks. The proposed method is designed to increase comparison accuracy by addressing the comparison challenges caused by striae profiles with different lateral scales, varying vertical (height) scales, and sections that are poorly marked or have little to no similarity. Instead of correlating the entire profiles extracted from striated tool marks, the method divides one of the compared profiles into segments. Each segment is then correlated with the other profile. The CMPS method uses the normalized cross-correlation function with multiple correlation peak inspection to determine the number of profile segments that have both significant topography similarity and a congruent registration position. Initial tests were performed on the land engraved areas (LEAs) of 35 bullets fired from 10 consecutively manufactured pistol barrels. The results show clear separation between the CMPS scores of the 549 known non-matching (KNM) LEA profiles and the 46 known matching (KM) LEA profiles. These results are an improvement over those obtained using the correlation coefficient score of whole profiles. The large number of CMPS segment correlations may facilitate a statistical approach to error rate estimations.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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