Name
Abstract | ||
|---|---|---|
Finger vein recognition is a promising biometric authentication technique. Finger vein images include a plurality of lines and can be regarded as a type of texture image. This paper proposes the use of 2D Gabor filters to process finger vein images and extract the texture features for better recognition results. Euclidean distance matching is performed. Experimental results demonstrate the effectiveness of this method. © 2013 Springer-Verlag Berlin Heidelberg. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-42057-3-104 | IScIDE |
Keywords | Field | DocType |
2d-gabor filter,feature extraction,finger vein recognition | Pattern recognition,Computer science,Euclidean distance,Feature extraction,Gabor filter,Artificial intelligence,Biometrics,Finger vein recognition | Conference |
Volume | Issue | ISSN |
8261 LNCS | null | 16113349 |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Zhang | 1 | 719 | 126.06 |
| Zhi Liu | 2 | 23 | 14.28 |
| Qijun Zhao | 3 | 419 | 38.37 |
| Congcong Zhang | 4 | 2 | 1.76 |
| Dandan Fan | 5 | 1 | 0.72 |