Name
Title | ||
|---|---|---|
Robust Hybrid Finger Pattern Identification Using Intersection Enhanced Gabor Based Direction Coding |
Abstract | ||
|---|---|---|
Automated biometrics identification using finger vein images has increasingly generated interest among researchers with emerging applications in human biometrics. The traditional feature-level fusion strategy is limited and expensive. To solve the problem, this paper investigates the possible use of infrared hybrid finger patterns on the back side of a finger, which includes both the information of finger vein and finger dorsal textures in original image, and a database using the proposed hybrid pattern is established. Accordingly, an Intersection enhanced Gabor based Direction Coding (IGDC) method is proposed. The Experiment achieves a recognition ratio of 98.4127% and an equal error rate of 0.00819 on our newly established database, which is fairly competitive. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1587/transinf.2016EDL8074 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
finger vein identification,multi-feature infrared finger pattern,vascular biometrics,finger dorsal textures | Computer vision,Pattern recognition,Computer science,Coding (social sciences),Speech recognition,Artificial intelligence,Finger vein recognition,Pattern identification | Journal |
Volume | Issue | ISSN |
E99D | 10 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| WM | 1 | 221 | 34.28 |
| Ji Wenyang | 2 | 0 | 0.34 |
| Zhou | 3 | 78 | 11.31 |
| QM | 4 | 464 | 72.05 |