AI-powered visual classification in archives
A computer vision approach to facial recognition in historical archives
Bibliographic Data
| ID | 12628758 |
|---|---|
| Authors | Muslum Yıldız (0009-0009-6124-0968, corresponding author), Fatih Rukancı (0000-0002-9555-0747, Ankara University) |
| Year | 2025 |
| Volume | 25 |
| Issue | 2 |
| Publication date | 2025-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archival Science (JOURNAL) |
| Journal identifiers | ISSN: 1389-0166 • E-ISSN: 1573-7500 |
| Publisher | Springer Nature (PUBLISHER • SG) |
| DOI | 10.1007/s10502-025-09486-w |
| OpenAlex | W4411103607 |
| Language | EN |
| References cited | 26 |
Archaeology · Art · Cultural heritage · Facial recognition system · Pattern recognition (psychology · Visual arts · Computer Science · Face and Expression Recognition · Face recognition and analysis · History · Video Surveillance and Tracking Methods · Artificial Intelligence
| Highly cited | No |
|---|