Adoption of Dual Iris and Periocular Recognition for Human Identification

Author:

Deepika R.1,Prasad M. R.2,Chetana Srinivas1,Manjunath T. C.3

Affiliation:

1. East West Institute of Technology, India

2. JSS Academy of Technical Education, India

3. HKBK College of Engineering, India

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.

Publisher

IGI Global

Reference19 articles.

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2. Abu-Bakar, S. A. R., & Dehkordi, A. B. (2013). Noise reduction in iris recognition using multiple thresholding. ICSIPA, 140-144.

3. Ali, M. A. M., & Tahir, N. (2014). Half Iris Gabor iris recognition. CSPA, 282-287.

4. Amandi, R., Bayat, M., Minakhani, K., Mirloo, H., & Bazarghan, M. (2013). Long Distance Iris Recognition. MVIP, 164-168.

5. Barstow, D. R., Bohenen, C. B., Chaum, E., Barstow, D. R., Karakaya, M., Santos-Villalobos, H. J. (2012). ORNL biometric eye model for iris recognition. BTAS, 176-182.

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