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Optical approach for iris segmentation and tracking
2016 4th IEEE International Colloquium on Information Science and Technology (CiSt), 2016In this paper, an autonomous active contour model based on the optical correlation algorithm is proposed. Optical correlation is used to calculate iris and pupil areas with a digital simulation of the Vander Lugt correlator. This area term computation assists the model to define an initial contour and at a later stage, to calculate terms in the energy ...
Elhoussaine Ouabida +2 more
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An Efficient and Accurate Iris Segmentation Technique
2009 Digital Image Computing: Techniques and Applications, 2009Accurate segmentation is a crucial phase in the implementation of an iris recognition system. In this paper we investigate a novel technique for iris segmentation. Morphological operations and area computation are applied together with other iris segmentation techniques in order to increase the speed and accuracy of the preprocessing phase.
Nitin K. Mahadeo, Nandita Bhattacharjee
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An incremental method for accurate iris segmentation
2008 19th International Conference on Pattern Recognition, 2008The paper presents an incremental method for accurate iris segmentation. Firstly, observing the characteristics of iris images, we search for a square region that contains pupil within or nearby which a specular highlight lies. Means and standard deviations of both pupil and specular highlight are employed for detection of such a square, and Integral ...
Peihua Li, Xiaomin Liu
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Evaluating iris segmentation for scenario optimisation
4th International Conference on Imaging for Crime Detection and Prevention 2011 (ICDP 2011), 2011Iris recognition is a biometric modality which offers the potential for high accuracy and, increasingly, for application in more diverse environments than hitherto. Poor segmentation is one of the most important factors likely to compromise iris recognition performance. Hence, research in the area of iris biometrics has often been focused on efforts to
Meryem Erbilek, Michael C. Fairhurst
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A Robust Iris Segmentation with Fuzzy Supports
2010Today, iris recognition is reported as one of the most reliable biometric approaches. With the strength of contactless, the hygienic issue is therefore minimized and the possibility of disease infection through the device as a medium is low. In this paper, a MMU2 iris database with such consideration is created for this study.
Chuan Chin Teo +4 more
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Iris Segmentation in the Last Decade – A Survey
2017The goal of this paper is to gather the most important ideas, developments and trends undergoing in iris segmentation through the last ten years and to offer to those researchers that are interested in iris segmentation, as clear as possible, a perspective both on the most popular or state of the art approaches and on ‘exotic’ ideas and possible future
Cristina Madalina Noaica +2 more
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A Fast and Robust Iris Segmentation Method
2007Image preprocessing stage (also known as iris segmentation) is the first step of the iris recognition process and determines its accuracy. In this paper, we propose a method for iris segmentation. In order to get a robust method we combine several well-know techniques to achieve final result. As some of these techniques are based on intensive searching,
Noé Otero-Mateo +3 more
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Iris Segmentation: A Review and Research Issues
2011In recent years, due to the crime spreading and the potential of security threats, a lot of efforts have been spent to develop a reliable surveillance system. Biometric systems have grown in popularity as a trustworthy way to authenticate the identity of individuals.
Abduljalil Radman +2 more
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An Efficient Iris Segmentation Method for Recognition
2005In this paper, an efficient iris segmentation method for recognition is described. The method is based on crossed chord theorem and zigzag collarette area. We select the zigzag collarette region as personal identification pattern, which can remove unnecessary areas and get good recognition rate. Zigzag collarette area is one of the most important parts
XiaoFu He, Pengfei Shi
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A New Iris Region Segmentation Method
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008Iris edge detection is a key step for iris boundary localization in iris recognition system, because there are many edge points caused by influences in iris image such as eyelashes, eyelid and light spots, it causes that edge detection and localization are generally computationally expensive.
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