Name
Abstract | ||
|---|---|---|
This article presents an efficient fingerprint identification system that implements an initial classification for search-space reduction followed by minutiae neighbor-based feature encoding and matching. The current state-of-the-art fingerprint classification methods use a deep convolutional neural network (DCNN) to assign confidence for the classification prediction, and based on this prediction... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCYB.2019.2957188 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Feature extraction,Encoding,Fingerprint recognition,Computer architecture,Databases,Artificial neural networks,Cybernetics | Journal | 51 |
Issue | ISSN | Citations |
9 | 2168-2267 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mubeen Ghafoor | 1 | 0 | 0.34 |
| Syed Ali Tariq | 2 | 0 | 1.69 |
| Tehseen Zia | 3 | 4 | 2.11 |
| Imtiaz A. Taj | 4 | 30 | 7.29 |
| Assad Abbas | 5 | 85 | 3.14 |
| Ali Hassan | 6 | 0 | 0.34 |
| Albert Y. Zomaya | 7 | 5709 | 454.84 |