Periocular Biometrics in the Visible Spectrum

By Unsang Park, Raghavender R. Jillela, Arun A. Ross, Anil K. Jain. IEEE Transactions on Information Forensics and Security, 2011

341 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Genetics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/e8d1d2a61c5a259440ef9fcd301093b43e87efa1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Wadee Alhalabi Alhalabi
2. Mohammad Haghighat
3. Mohamed Abdel-Mottaleb

In Signal Processing

1. Wadee Alhalabi Alhalabi
2. Mohammad Haghighat
3. Mohamed Abdel-Mottaleb

Citations in the corpus

• 50 years of biometric research: Accomplishments, challenges, and opportunities (2016, neutral): “The use of the periocular region as a biometric cue represents a good trade-off between using the entire face region or using only the iris for recognition (Park et al., 2011).”
• Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition (2016, background): “It was shown that the periocular regions, nose and mouth can be considered as useful biometrics [54]–[56]; however, they are not as discriminative as the whole face [22].”