Name
Abstract | ||
|---|---|---|
We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge, including alignment and minutiae detection, into the deep network architecture to maximize the discriminative power of its representation. The compact, DeepPrint representation has several advantages over the prevailing varia... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TPAMI.2019.2961349 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Feature extraction,NIST,Knowledge engineering,Databases,Encryption,Face recognition,Task analysis | Journal | 43 |
Issue | ISSN | Citations |
6 | 0162-8828 | 3 |
PageRank | References | Authors |
0.37 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joshua J. Engelsma | 1 | 22 | 5.78 |
| Kai Cao | 2 | 207 | 18.68 |
| Anil Jain | 3 | 33507 | 3334.84 |