Name
Title | ||
|---|---|---|
Extended StirTrace benchmarking of biometric and forensic qualities of morphed face images. |
Abstract | ||
|---|---|---|
Since its introduction in 2014, the face morphing forgery (FMF) attack has received significant attention from the biometric and media forensic research communities. The attack aims at creating artificially weakened templates which can be successfully matched against multiple persons. If successful, the attack has an immense impact on many biometric authentication scenarios including the applicati... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-bmt.2017.0147 | IET Biometrics |
Keywords | Field | DocType |
authorisation,document image processing,face recognition,feature extraction,image forensics,image fusion,image morphing | Computer vision,Facial recognition system,Morphing,Pattern recognition,Computer science,Benford's law,Digital image,Artificial intelligence,Biometrics,Benchmarking | Journal |
Volume | Issue | ISSN |
7 | 4 | 2047-4938 |
Citations | PageRank | References |
4 | 0.56 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Neubert | 1 | 10 | 1.70 |
| Andrey Makrushin | 2 | 53 | 10.06 |
| Mario Hildebrandt | 3 | 94 | 18.43 |
| Christian Kraetzer | 4 | 211 | 18.80 |
| Jana Dittmann | 5 | 1416 | 221.92 |