Name
Abstract | ||
|---|---|---|
This paper proposes a score level fusion scheme for a multimodal biometric system. Accuracy and reliability of a system are improved by utilizing more than one samples. Every matching of a biometric sample with its corresponding biometric sample in the database produces a matching score. There multiple scores from different biometric samples are fused for further utilization. It proposes an efficient threshold alignment and range compression scheme for score normalization. It uses statistical properties of biometric score distribution. The proposed scheme has been tested over a multimodal database which is constructed by using three publicly available database viz. FVC2006-DB2-A of fingerprint, CASIA-V4-Lamp of iris and PolyU of palmprint. Experimental results have shown the significant performance boost. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/CIBIM.2014.7015443 | Computational Intelligence in Biometrics and Identity Management |
Keywords | DocType | Citations |
biometrics (access control),data compression,image coding,image fusion,image matching,statistical analysis,casia-v4-lamp iris database,fvc2006-db2-a fingerprint database,polyu palmprint database,tarc,biometric sample matching,biometric score distribution statistical properties,multimodal biometric systems,range compression scheme,score level fusion scheme,score normalization,threshold alignment scheme,databases,iris recognition,accuracy,feature extraction,fingerprint recognition | Conference | 1 |
PageRank | References | Authors |
0.34 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kamlesh Tiwari | 1 | 82 | 10.97 |
| Aditya Nigam | 2 | 154 | 28.82 |
| Phalguni Gupta | 3 | 805 | 82.58 |