Adoption of Dual Iris and Periocular Recognition for Human Identification

Adoption of Dual Iris and Periocular Recognition for Human Identification

R. Deepika (East West Institute of Technology, India), M. R. Prasad (JSS Academy of Technical Education, India), Srinivas Chetana (East West Institute of Technology, India) and T. C. Manjunath (HKBK College of Engineering, India)
DOI: 10.4018/978-1-4666-8737-0.ch014
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Abstract

Personal identification from the iris images acquired under less-constrained imaging environment is highly challenging. Such environment requires the development of efficient iris segmentation approach and recognition strategy which can exploit multiple features available for the potential identification. So, along with the iris features periocular features have increasing attention in biometrics technology. For the recognition purpose iris and periocular information are collected from both the eyes of same person simultaneously. The term periocular refers to the facial region in the immediate vicinity of the eye. Acquisition of image for periocular biometric is expected to require less subject cooperation. In this chapter, a dual iris based multimodal biometric system that increases the performance and accuracy of the typical iris recognition system is proposed.

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