Results 251 to 260 of about 45,283 (277)

Statistics of local surface curvatures for mis-localized iris detection

2010 IEEE International Conference on Image Processing, 2010
Eye detection is a hot research topic in computer vision for its wide applications in human-computer interaction, face and iris recognition, etc. However, robust eye detection is still a grand challenge due to the numerous appearance variations of eye images in real-world applications.
Hui Zhang 0061, Zhenan Sun, Tieniu Tan
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Iris localization based on multi-resolution analysis

2008 19th International Conference on Pattern Recognition, 2008
Iris localization is an especially important step in the whole iris recognition system, for it determines the accuracy of matching partially. To improve its accuracy and efficiency, we propose a new iris localization algorithm in this paper, which detects the edge points of iris at some appropriate resolutions and fits circles to these edge points. The
Lili Pan 0001, Mei Xie, Zheng Ma 0005
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Defining Iris Boundary Detail Method for Iris Localization

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, 2008
Localizing the iris preciously is a significant problem which becomes the fundamental preprocessing of iris recognition. This paper presents an improved inner and outer iris localization method. For the boundary of an iris closes to a circle and the pupil brightness distributes equably, this paper presents a geometrical method based on circle vertical ...
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Robustifying compressed projections for expressive iris localization

Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2014
In this paper we describe a new system for eye center (pupil) localization. The patch centered on the eye is described by concatenations of integral and edge projections. Next, for dimensionality reduction, the Principal Component Analysis (PCA) technique is employed, while the discrimination among possible candidates is performed with a Bagged ...
Corneliu Florea, Laura Florea
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Localizing the iris center by region growing search

Proceedings. IEEE International Conference on Multimedia and Expo, 2002
A novel approach to localize human iris centers in facial images is proposed. From the estimated nose center of the detected face, the proposed method searches for the possible iris edge by gradually growing a rectangle, and then localizes the iris center in an expected region by searching for the pixel, which has the minimum average intensity ...
Bo Cao, Shiguang Shan, Wen Gao 0001, Debin Zhao   +3 more
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A low complexity Iris localization algorithm for Iris biometrics

Multimedia Tools and Applications, 2022
Shahrukh Agha, Farmanullah Jan
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Automatic Iris Segmentation Based on Local Areas

18th International Conference on Pattern Recognition (ICPR'06), 2006
In this paper a novel and robust method for automatic iris segmentation based on local areas is described. Such method is composed of three main parts, (a) Find the local rectangle region which has the minimum intensity mean and extend it to locate pupil, (b) Select two small local sector areas including the outer boundaries of iris to locate outer ...
Guangzhu Xu, Zaifeng Zhang, Yide Ma
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An Improved Iris Localization Method for Authentication System

2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing, 2011
At present, the research of biometric recognition is gave more and more attentions. The iris recognition is a kind of biometrics technologies. Based on Daugman' and Wilds' iris localization algorithms, the paper is to present an improved iris localization method named two-phase approximation localization for authentication system.
Zongqiang Zhang, Mingchu Li, Feng Xia 0001, Jianhua Ma 0002   +3 more
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Research on Iris Localization Algorithms

2016 International Conference on Robots & Intelligent System (ICRIS), 2016
Iris localization affects the iris texture feature extraction, which has an important influence on the result of the analysis. The inner and outer edges of iris as concentric circles in the traditional algorithm caused low recognition accuracy. The pupil iris and iris-sclera borders are non-concentric circles, so the new localization algorithms were ...
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Iris Localization with Dual Coarse-to-fine Strategy

18th International Conference on Pattern Recognition (ICPR'06), 2006
Iris-based personal recognition is highly dependent on the accurate iris localization. In this paper, an effective and efficient iris localization algorithm is proposed to overcome the drawback of the traditional localization methods which are time-consuming and sensitive to the occlusion caused by eyelids and eyelashes.
Xinhua Feng, Chi Fang, Xiaoqing Ding, Youshou Wu   +3 more
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