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Using Ocular Data for Unconstrained Biometric Recognition

Using Ocular Data for Unconstrained Biometric Recognition

Hugo Proença, Gil Santos, João C. Neves
Copyright: © 2014 |Pages: 20
ISBN13: 9781466659667|ISBN10: 1466659661|EISBN13: 9781466659674
DOI: 10.4018/978-1-4666-5966-7.ch012
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MLA

Proença, Hugo, et al. "Using Ocular Data for Unconstrained Biometric Recognition." Face Recognition in Adverse Conditions, edited by Maria De Marsico, et al., IGI Global, 2014, pp. 252-271. https://doi.org/10.4018/978-1-4666-5966-7.ch012

APA

Proença, H., Santos, G., & Neves, J. C. (2014). Using Ocular Data for Unconstrained Biometric Recognition. In M. De Marsico, M. Nappi, & M. Tistarelli (Eds.), Face Recognition in Adverse Conditions (pp. 252-271). IGI Global. https://doi.org/10.4018/978-1-4666-5966-7.ch012

Chicago

Proença, Hugo, Gil Santos, and João C. Neves. "Using Ocular Data for Unconstrained Biometric Recognition." In Face Recognition in Adverse Conditions, edited by Maria De Marsico, Michele Nappi, and Massimo Tistarelli, 252-271. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5966-7.ch012

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Abstract

There are several scenarios where a full facial picture cannot be obtained nor the iris properly imaged. For such cases, a good possibility might be to use the ocular region for recognition, which is a relatively new idea and is regarded as a good trade-off between using the whole face or the iris alone. The area in the vicinity of the eyes is designated as periocular and is particularly useful on less constrained conditions, when image acquisition is unreliable, or to avoid iris pattern spoofing. This chapter provides a comprehensive summary of the most relevant research conducted in the scope of ocular (periocular) recognition methods. The authors compare the main features of the publicly available data sets and summarize the techniques most frequently used in the recognition algorithms in this chapter. In addition, they present the state-of-the-art results in terms of recognition accuracy and discuss the current issues on this topic, together with some directions for further work.

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