Efficient Iris Spoof Detection via Boosted Local Binary Patterns
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A Robust Iris Localization Model Based on Phase Congruency and Least Trimmed Squares Estimation
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Low-complexity iris coding and recognition based on directionlets
IEEE Transactions on Information Forensics and Security
Iris image segmentation and sub-optimal images
Image and Vision Computing
Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition
Image and Vision Computing
Fast Iris Segmentation by Rotation Average Analysis of Intensity-Inversed Image
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Noise detection of iris image based on texture analysis
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Iris segmentation using geodesic active contours
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Topology modeling for Adaboost-cascade based object detection
Pattern Recognition Letters
Quality-based dynamic threshold for iris matching
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Scale invariant gabor descriptor-based noncooperative iris recognition
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A robust iris segmentation with fuzzy supports
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
A novel and efficient feedback method for pupil and iris localization
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Circular shortest path as a method of detection and refinement of iris borders in eye image
Journal of Computer and Systems Sciences International
Ethnic classification based on iris images
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Iterative directional ray-based iris segmentation for challenging periocular images
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Iris recognition based on robust iris segmentation and image enhancement
International Journal of Biometrics
Computer Vision and Image Understanding
A simple boundary extraction technique for irregular pupil localization with orthogonal polynomials
Computer Vision and Image Understanding
Noisy iris image matching by using multiple cues
Pattern Recognition Letters
Adaboost and multi-orientation 2D Gabor-based noisy iris recognition
Pattern Recognition Letters
Optimization of the threshold value for segmentation of objects of a priori known forms
Pattern Recognition and Image Analysis
Image security and biometrics: a review
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Efficient method of person authentication based on fusion of best bits in left and right irises
International Journal of Biometrics
Iris localization in frontal eye images for less constrained iris recognition systems
Digital Signal Processing
Speed-up multi-stage non-cooperative iris recognition
International Journal of Biometrics
Iris center location using Hough transform with two-dimensional parameter space
Journal of Computer and Systems Sciences International
Iris image deblurring based on refinement of point spread function
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Computer Methods and Programs in Biomedicine
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Iris segmentation is an essential module in iris recognition because it defines the effective image region used for subsequent processing such as feature extraction. Traditional iris segmentation methods often involve an exhaustive search of a large parameter space, which is time consuming and sensitive to noise. To address these problems, this paper presents a novel algorithm for accurate and fast iris segmentation. After efficient reflection removal, an Adaboost-cascade iris detector is first built to extract a rough position of the iris center. Edge points of iris boundaries are then detected, and an elastic model named pulling and pushing is established. Under this model, the center and radius of the circular iris boundaries are iteratively refined in a way driven by the restoring forces of Hooke's law. Furthermore, a smoothing spline-based edge fitting scheme is presented to deal with noncircular iris boundaries. After that, eyelids are localized via edge detection followed by curve fitting. The novelty here is the adoption of a rank filter for noise elimination and a histogram filter for tackling the shape irregularity of eyelids. Finally, eyelashes and shadows are detected via a learned prediction model. This model provides an adaptive threshold for eyelash and shadow detection by analyzing the intensity distributions of different iris regions. Experimental results on three challenging iris image databases demonstrate that the proposed algorithm outperforms state-of-the-art methods in both accuracy and speed.