Name
Abstract | ||
|---|---|---|
Palmprint recognition has received in the last 20 years a great deal of the research community's attention. In this paper a new palmprint matching approach based on corner feature point extraction is proposed. A 72-element fixed-length descriptor is used to capture distinctive information of each feature point neighborhood and to build a measure of similarity whilst their coordinates provide a measure of proximity between the points. Matching two images takes into account both similarity and proximity measures which converts into a cost minimization problem. Our experiments carried out on a database of 250 prints from the Poly U database have yielded very good results evidenced by an EER of 0.31%. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AVSS.2017.8078487 | 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) |
Keywords | Field | DocType |
distinctive information,feature point neighborhood,proximity measures,cost minimization problem,robust method,palmprint recognition,corner feature point extraction,fixed-length descriptor,image matching,palmprint matching approach,Poly U database,EER | Minimization problem,Computer vision,Pattern recognition,Computer science,Robustness (computer science),Feature extraction,Artificial intelligence,Image resolution | Conference |
ISBN | Citations | PageRank |
978-1-5386-2940-6 | 0 | 0.34 |
References | Authors | |
27 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omar Nibouche | 1 | 89 | 13.50 |
| hui wang | 2 | 76 | 17.01 |
| Sriram Varadarajan | 3 | 0 | 0.68 |
| Bryan W. Scotney | 4 | 670 | 82.50 |