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Iris and Periocular Biometric Recognition

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Editors: Christian Rathgeb 1 ; Christoph Busch 1
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Publication Year: 2017

Iris recognition technologies for identity management are already deployed globally in several large-scale nationwide biometric projects and are currently entering the mobile market. More recently, periocular recognition has been employed to augment the biometric performance of the iris in unconstrained environments where only the ocular region is present in the image. Iris and Periocular Biometric Recognition provides an overview of scientific fundamentals and principles of iris and periocular biometric recognition over six broad areas: an introduction to iris and periocular recognition; a selective overview of issues and challenges; soft biometric classification; security aspects; privacy protection and forensics; and future trends. With contributions from experts in industry and academia, this book is essential reading for researchers, graduate students and practitioners in biometrics and related fields.

Inspec keywords: iris recognition; age issues; gender issues; image classification; infrared imaging; embedded systems; image matching; digital forensics; data privacy; image segmentation; authorisation

Other keywords: software attacks; IrisCodes; age predictive biometrics; periocular biometrics; near infrared iris images; iris image quality metrics; presentation attack resistant robust biometric ocular system; forensics; robust iris image segmentation; mobile iris recognition; soft biometric classification; iris biometric indexing; best periocular region identification; privacy protection; biometric recognition; embedded systems; iris sensor identification; iris image matching; privacy-preserving distance computation; iris biometric template protection; contact lens detection; gender classification

Subjects: General electrical engineering topics; Optical, image and video signal processing; Economic, social and political aspects of computing; General and management topics; Data security; Computer vision and image processing techniques

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