Name
Abstract | ||
|---|---|---|
The increasing usage of smartphones has raised security concerns regarding these devices due to presence of high amount of personal and sensitive data. The risk is higher without a proper mechanism to handle the authentication to access the smartphone device. In this work, we present a standalone modular biometric system based on periocular information to authenticate towards device. The proposed system has been implemented on the Android operating system. We field tested and evaluated the proposed system using a new database acquired capturing samples with three different devices. We apply the three well known feature extraction techniques, SIFT, SURF and BSIF independently in the proposed peroicular based authentication system. The best performance achieved with GMR = 89.38% at FMR = 0.01% indicates the applicability of the proposed periocular based mobile authentication system in a real-life scenario. |
Year | Venue | Keywords |
|---|---|---|
2014 | Biometrics Special Interest Group | Android (operating system),feature extraction,security of data,smart phones,Android operating system,BSIF,SIFT,SURF,feature extraction technique,periocular based mobile authentication system,periocular biometrics,smartphone authentication system,standalone modular biometric system |
Field | DocType | Citations |
Scale-invariant feature transform,Android (operating system),Authentication,Authentication system,Computer science,Feature extraction,Biometrics,Modular design,Humanoid robot,Embedded system | Conference | 7 |
PageRank | References | Authors |
0.54 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kiran B. Raja | 1 | 15 | 4.77 |
| Ramachandra Raghavendra | 2 | 29 | 11.90 |
| Martin Stokkenes | 3 | 7 | 0.54 |
| Christoph Busch | 4 | 163 | 33.54 |