The performance of automatic ballistics identification system, BALİSTİKA, for 7.62 mm × 39 mm cartridge case correlation

Sarıbey, Aylin Yalçın; Çetin, Ali; Gören, fatih Faysal; Akin, Kemal

doi:10.1016/j.forsciint.2021.111085

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…It is used by experts in ballistic investigations due to the characteristic marks formed on various parts of the weapon during the production (cutting, drilling, grinding, and hand polishing etc) of firearms [5]. As the marks of firing pin mark, breech face marks, and ejector marks are particularly prominent in ballistic imaging methods, it focuses on the analysis of these marks [6,17,26]. The BALİSTİKA 2010 system developed in this context is successfully used in the creation, classification, and matching of images of ballistic evidence.…”

Section: Discussionmentioning

confidence: 99%

“…BALİSTİKA 2010 consists of three parts: data acquisition, database management, and matching‐correction through visualization [22]. In addition to Imaging with Confocal Microscope [23], Laser Profilometry [24], Laser Conoscopic Holography [25], and Photometric Stereo [22] features, it stands out for its ability to obtain shell casing and bullet images in 3D [26].…”

Section: Introductionmentioning

confidence: 99%

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Classification of fired cartridge cases using 3D image capture and a comparison of database correlation method performance

Kara

Karatatar

2022

Journal of Forensic Sciences

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When firearms are used, they leave unique marks on the fired bullets and shells. Examining these marks gives clues about the crime scene and the weapon of the crime. However, due to the increase in the number of incidents in which firearms are used, the increase in the amount of evidence makes ballistic investigations very difficult and prolongs the analysis time of the evidence. With the automatic image analysis and identification system, ballistic evidence can be examined very quickly and used to classify possible matching evidences. In this study, we present an approach based on Image Similarity Measurement for forensic examination of cartridges from automatic pistols. For this purpose, we used 500 images of 9 × 19 mm and 500 images of 7.65 × 17 mm cartridge cases obtained from 20 different brands and models of pistols. We divided the images of bullet cartridges into four different categories as breech face, firing pin, ejector mark, and combined evaluation, and we obtained these images from the BALİSTİKA 2010 system. We investigated the classification and matching performance of the obtained four category images using 4 different methods: Structural Similarity (SSIM), Root Mean Square Error (RMSE), Peak Signal to Noise Ratio (PSNR), and Universal Image Quality Index (UQI). The results show that our Structural Similarity (SSIM) approach is effective in classifying and matching ballistic evidence.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Classification of fired cartridge cases using 3D image capture and a comparison of database correlation method performance

Kara

Karatatar

2022

Journal of Forensic Sciences

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Technology in Forensic Sciences: Innovation and Precision

Chango,

Flor-Unda,

Gil-Jiménez

et al. 2024

Technologies

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The advancement of technology and its developments have provided the forensic sciences with many cutting-edge tools, devices, and applications, allowing forensics a better and more accurate understanding of the crime scene, a better and optimal acquisition of data and information, and faster processing, allowing more reliable conclusions to be obtained and substantially improving the scientific investigation of crime. This article describes the technological advances, their impacts, and the challenges faced by forensic specialists in using and implementing these technologies as tools to strengthen their field and laboratory investigations. The systematic review of the scientific literature used the PRISMA® methodology, analyzing documents from databases such as SCOPUS, Web of Science, Taylor & Francis, PubMed, and ProQuest. Studies were selected using a Cohen Kappa coefficient of 0.463. In total, 63 reference articles were selected. The impact of technology on investigations by forensic science experts presents great benefits, such as a greater possibility of digitizing the crime scene, allowing remote analysis through extended reality technologies, improvements in the accuracy and identification of biometric characteristics, portable equipment for on-site analysis, and Internet of things devices that use artificial intelligence and machine learning techniques. These alternatives improve forensic investigations without diminishing the investigator’s prominence and responsibility in the resolution of cases.

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The performance of automatic ballistics identification system, BALİSTİKA, for 7.62 mm × 39 mm cartridge case correlation

Cited by 2 publications

References 17 publications

Classification of fired cartridge cases using 3D image capture and a comparison of database correlation method performance

Classification of fired cartridge cases using 3D image capture and a comparison of database correlation method performance

Technology in Forensic Sciences: Innovation and Precision

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