Name
Abstract | ||
|---|---|---|
Latent fingerprints are one of the most crucial sources of evidence in forensic investigations. As such, development of automatic latent fingerprint recognition systems to quickly and accurately identify the suspects is one of the most pressing problems facing fingerprint researchers. One of the first steps in manual latent processing is for a fingerprint examiner to perform a triage by assigning ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIFS.2017.2721099 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
NIST,Fingerprint recognition,Crowdsourcing,Databases,Feature extraction,Forensics,Reliability | Automated fingerprint identification,Multidimensional scaling,Matrix completion,Pattern recognition,Computer science,Crowdsourcing,Fingerprint recognition,Fingerprint,Feature extraction,NIST,Artificial intelligence | Journal |
Volume | Issue | ISSN |
13 | 1 | 1556-6013 |
Citations | PageRank | References |
2 | 0.36 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tarang Chugh | 1 | 45 | 5.62 |
| Kai Cao | 2 | 207 | 18.68 |
| Jiayu Zhou | 3 | 765 | 56.69 |
| Elham Tabassi | 4 | 342 | 30.33 |
| Anil Jain | 5 | 33507 | 3334.84 |