Abstract
The human face facilitates identification in security and policing scenarios. In these settings, automatic face recognition systems have increased in prevalence and accuracy in recent years. As a result, the identification task, which once fell entirely to humans, is now a process performed by man and machine. Automatic face recognition systems provide image similarity comparisons and can create candidate lists to narrow down potential targets. There is increasing interest in the accuracy of these systems, and the role that algorithms can play in the identification effort. The design, operational usage, and effectiveness of these automatic systems, as well as the interaction of human and computer recognition are the topics of this chapter.
| Original language | English |
|---|---|
| Title of host publication | Forensic Face Matching |
| Subtitle of host publication | Research and Practice |
| Editors | Markus Bindemann |
| Publisher | Oxford University Press |
| Chapter | 9 |
| Pages | 193-215 |
| Number of pages | 23 |
| ISBN (Print) | 0198837747, 9780198837749 |
| DOIs | |
| Publication status | Published - 7 Jan 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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