Title | ||
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Fast periocular authentication in handheld devices with reduced phase intensive local pattern |
Abstract | ||
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To ensure highest security in handheld devices, biometric authentication has emerged as a reliable methodology. Deployment of mobile biometric authentication struggles due to computational complexity. For a fast response from a mobile biometric authentication method, it is desired that the feature extraction and matching should take least time. In this article, the periocular region captured through frontal camera of a mobile device is considered under investigation for its suitability to produce a reduced feature that takes least time for feature extraction and matching. A recently developed feature Phase Intensive Local Pattern (PILP) is subjected to reduction giving birth to a feature termed as Reduced PILP (R-PILP), which yields a matching time speed-up of 1.56 times while the vector is 20% reduced without much loss in authentication accuracy. The same is supported by experiment on four publicly available databases. The performance is also compared with one global feature: Phase Intensive Global Pattern, and three local features: Scale Invariant Feature Transform, Speeded-up Robust Features, and PILP. The amount of reduction can be varied with the requirement of the system. The amount of reduction and the performance of the system bears a trade-off. Proposed R-PILP attempts to make periocular suitable for mobile devices. |
Year | DOI | Venue |
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2018 | https://doi.org/10.1007/s11042-017-4965-6 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Fast biometric matching,Biometric on mobile device,Periocular biometric,Phase intensive local pattern,Feature reduction | Computer vision,Scale-invariant feature transform,Authentication,Software deployment,Pattern recognition,Computer science,Feature extraction,Mobile device,Artificial intelligence,Biometrics,Periocular Region,Computational complexity theory | Journal |
Volume | Issue | ISSN |
77 | 14 | 1380-7501 |
Citations | PageRank | References |
3 | 0.38 | 21 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sambit Bakshi | 1 | 123 | 23.10 |
Pankaj K. Sa | 2 | 12 | 2.13 |
Haoxiang Wang | 3 | 276 | 15.25 |
Soubhagya Sankar Barpanda | 4 | 26 | 2.05 |
Banshidhar Majhi | 5 | 356 | 49.76 |