Name
Title | ||
|---|---|---|
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition |
Abstract | ||
|---|---|---|
•A pre-trained model based on a depth-wise separable convolution layer is employed.•The proposed model has low computation cost and better generalizability.•A comparative analysis of the various learning models has been presented.•The results are promising and show excellent authentication accuracy on a small dataset. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.eswa.2021.116288 | Expert Systems with Applications |
Keywords | DocType | Volume |
Biometric,Convolutional neural network,Classification,Deep learning,Finger vein recognition,Transfer learning,Xception | Journal | 191 |
ISSN | Citations | PageRank |
0957-4174 | 3 | 0.39 |
References | Authors | |
48 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kashif Shaheed | 1 | 10 | 2.87 |
| Aihua Mao | 2 | 44 | 10.26 |
| Imran Qureshi | 3 | 4 | 0.75 |
| Munish Kumar | 4 | 8 | 1.12 |
| Sumaira Hussain | 5 | 4 | 2.10 |
| Inam Ullah | 6 | 3 | 0.39 |
| Xingming Zhang | 7 | 3 | 0.39 |