Name
Abstract | ||
|---|---|---|
Latent fingerprints are one of the most important and widely used sources of evidence in law enforcement and forensic agencies. Yet the performance of the state-of-the-art latent recognition systems is far from satisfactory, and they often require manual markups to boost the latent search performance. Further, the COTS systems are proprietary and do not output the true comparison scores between a ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIFS.2019.2930487 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
Conferences,Indexes,Typesetting,Standards,Loading,Portable document format,Web sites | Latent image,Pattern recognition,End-to-end principle,Minutiae,Computer science,Fingerprint,Feature extraction,Preprocessor,NIST,Artificial intelligence,Region of interest | Journal |
Volume | ISSN | Citations |
15 | 1556-6013 | 2 |
PageRank | References | Authors |
0.36 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai Cao | 1 | 207 | 18.68 |
| Dinh-Luan Nguyen | 2 | 11 | 1.30 |
| Cori Tymoszek | 3 | 9 | 0.87 |
| Anil Jain | 4 | 33507 | 3334.84 |