Name
Abstract | ||
|---|---|---|
Graphical processing unit (GPU) has proven a beneficial tool in handling computationally intensive algorithms, by introducing massive parallelism in the calculations. In this study, an effective and low-cost fingerprint identification (FI) solution is proposed that can exploit the parallel computational power of GPU proficiently. It is achieved by mapping a generalised minutia neighbour-based nove... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2016.1021 | IET Image Processing |
Keywords | Field | DocType |
data structures,fingerprint identification,graphics processing units,image coding,image matching,image sequences,multi-threading | Data structure,Multithreading,Central processing unit,Pattern recognition,Artificial intelligence,Loop unrolling,Mathematics,Blossom algorithm,Nested loop join,Encoding (memory),Speedup | Journal |
Volume | Issue | ISSN |
12 | 2 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mubeen Ghafoor | 1 | 17 | 5.80 |
| Shahzaib Iqbal | 2 | 0 | 0.34 |
| Syed Ali Tariq | 3 | 0 | 1.69 |
| Imtiaz A. Taj | 4 | 30 | 7.29 |
| Mohammad Noman Jafri | 5 | 0 | 0.34 |