Automated comparison of firearm bullets |
| |
| Authors: | Puente León Fernando |
| |
| Institution: | 1. Forensic Science Program, Department of Applied Science, Faculty of Science, Prince of Songkla University, 15 Karnjanavanich Road, Hat Yai, Songkhla, Thailand;2. Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand;1. Division of Podiatry and Clinical Sciences, University of Huddersfield, Queensgate, Huddersfield HD1 3DH, UK;2. Identification Bureau, Yorkshire and the Humber Regional Scientific Support Services, Wakefield WF1 3QS UK;1. Small Arms Survey, Graduate Institute of International and Development Studies, Geneva, Switzerland;2. Arquebus Solutions Ltd, Coventry, England, UK;3. Ecole des sciences criminelles, University of Lausanne, Lausanne, Switzerland;1. Ecole des Sciences Criminelles, Université de Lausanne, Bâtiment Batochime, 1015 Lausanne-Dorigny, Switzerland;2. Rubinum Engineering GmbH, Lise-Meitner-Strasse 3A, 82024 Taufkirchen, Germany |
| |
| Abstract: | Fired bullets bear striation marks that can be thought of as a "fingerprint" left by the firearm. This new comparison approach is based on an automated extraction of a "signature" encompassing the relevant marks from an image. To this end, multiple pictures of the bullet are recorded first by using different illumination patterns, and a high quality image is generated by means of fusion techniques. After a preprocessing, the image intensities are filtered along the striations direction, yielding a compact representation of the marks. A non-linear filter selects the striae of interest. The actual comparison takes place by cross-correlating the signatures obtained this way. Finally, an assessment strategy is proposed to objectively evaluate the performance of the system. As demonstrated with an image database of real bullets, the proposed approach outperforms a state-of-the-art commercial system. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect PubMed 等数据库收录！ |
|
