Name
Abstract | ||
|---|---|---|
A method for fingerprint composition-feature extraction by using directional filter banks is proposed. the proposed method decomposes a fingerprint image into eight directional sub bands using directional filter banks and then computes the composition-feature from each sector, corresponding to each directional sub band, segmented from the interested region. The composition-feature consists of mean feature and deviation feature and it can well represent the local feature of a sector. Experimental results show the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CIS.2011.127 | CIS |
Keywords | Field | DocType |
fingerprint identification,fingerprint,fingerprint image decomposition,mean feature,fingerprint image,fingerprint composition feature extraction,interested region,image segmentation,directional filter banks,directional subbands,directional sub band,channel bank filters,feature extraction,deviation feature,directional filter bank,composition-feature,feature matching,local feature,fingerprint composition-feature extraction,filter bank,vectors,fingerprint recognition | Computer vision,Pattern recognition,Fingerprint recognition,Image matching,Computer science,Fingerprint image,Feature extraction,Fingerprint,Image segmentation,Feature matching,Artificial intelligence,Filtering theory | Conference |
ISBN | Citations | PageRank |
978-1-4577-2008-6 | 1 | 0.40 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaorong Li | 1 | 47 | 5.47 |
| Huang Ming Qing | 2 | 1 | 0.40 |
| Jianping Li | 3 | 455 | 76.28 |