Name
Abstract | ||
|---|---|---|
The primary purpose of a fingerprint recognition system is to ensure a reliable and accurate user authentication, but the security of the recognition system itself can be jeopardized by spoof attacks. This paper addresses the problem of developing accurate, generalizable, and efficient algorithms for detecting fingerprint spoof attacks. Specifically, we propose a deep convolutional neural network-... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIFS.2018.2812193 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Fingerprint recognition,Sensors,Fabrication,Security,Two dimensional displays,Image sensors,Feature extraction | Computer vision,Authentication,Pattern recognition,Image sensor,Computer science,Minutiae,Fingerprint recognition,Convolutional neural network,Fingerprint,Feature extraction,Graphical user interface,Artificial intelligence | Journal |
Volume | Issue | ISSN |
13 | 9 | 1556-6013 |
Citations | PageRank | References |
16 | 0.68 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tarang Chugh | 1 | 45 | 5.62 |
| Kai Cao | 2 | 207 | 18.68 |
| Anil Jain | 3 | 33507 | 3334.84 |