Volume 64, Issue 5 pp. 1335-1344
Paper

Performance Evaluation of a Registered Ballistic Database Using the Evofinder® System

Yuesong Li M.S.

Yuesong Li M.S.

School of Forensic Science, People's Public Security University of China, Beijing, 100038 China

Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai, 200083 China

Search for more papers by this author
Sheng Lin M.S.

Sheng Lin M.S.

School of Forensic Science, People's Public Security University of China, Beijing, 100038 China

Search for more papers by this author
Yaping Luo Ph.D.

Corresponding Author

Yaping Luo Ph.D.

Graduate School, People's Public Security University of China, Beijing, 100038 China

Corresponding author: Yaping Luo, Ph.D. E-mail: [email protected]Search for more papers by this author
Zhongliang Mi B.S.

Zhongliang Mi B.S.

Shanghai Key Laboratory of Crime Scene Evidence, Institute of Forensic Science, Shanghai Public Security Bureau, Shanghai, 200083 China

Search for more papers by this author
First published: 22 March 2019
Citations: 5
Funding provided by the Opening Project of Shanghai Key Laboratory of Crime Scene Evidence (Grant No. 2018XCWZK17).

Abstract

Firearms for police in China are registered along with their fired bullets and cartridge cases. A Registered Ballistic Database (RBD) of 1000 Norinco QSZ-92 pistols with registered ammunition was established and was evaluated through the Evofinder® system. In this research, 1000 bullets and 1000 cartridge cases were randomly selected and correlated against an RBD of 2996 bullets and 2999 cartridge cases. Examiners found that successful identifications all ranked 1st, supported with land (100%), groove (97%) engraved areas, and primary marks (85.6%) for bullets, and firing pin impressions (99.8%), and breech face marks (99.9%) for cartridge cases. Two known matches (KM) for the same pistol rank in the top two (100%). The distribution of similarity scores varies from marks; however, the Evofinder® system could still effectively distinguish known matches from known nonmatches (KNM) for either bullets or cartridge cases. This study demonstrates the efficiency of the RBD.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.