Automatic Face Recognition and Identification Tools in the Forensic Science Domain

被引:2
作者
Salici, Angelo [1 ]
Ciampini, Claudio [1 ]
机构
[1] RIS Messina, Raggruppamento Carabinieri Invest Sci, SS 114 Km 6 400, I-98128 Messina, Italy
来源
DIGITAL COMMUNICATION: TOWARDS A SMART AND SECURE FUTURE INTERNET, TIWDC 2017 | 2017年 / 766卷
关键词
Face recognition; Automatic; Identification; Forensic; Likelihood ratio;
D O I
10.1007/978-3-319-67639-5_2
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper describes an experimental work executed by Carabinieri Forensic Investigation Department (Italy) to explore the performance of the automatic face recognition systems in forensic domain. The main goal of the research is to survey the recognition ability and identification performance of these tools. The experiments are carried out using three commercial automatic facial recognition platforms. In our work we compare the difference between the forensic experts' way of manual facial comparison with the machine outcome in two different scenarios; the first is a training and certification environment, a facial image comparisons proficiency test to verify the recognition capabilities. The second is a daily forensic caseworks scenario, formed by 130 real cases successfully investigated by forensic experts, to analyze the identification achievement.
引用
收藏
页码:8 / 17
页数:10
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