High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Personal Identification Based on Iris Texture Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Iris Segmentation Method for Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
Fast Iris Segmentation by Rotation Average Analysis of Intensity-Inversed Image
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
A novel method using contourlet to extract features for iris recognition system
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
A novel and efficient method to extract features and vector creation in iris recognition system
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
An efficient method for eye tracking and eye-gazed FOV estimation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Iris recognition using genetic algorithms and asymmetrical SVMs
Machine Graphics & Vision International Journal
Real-time continuous iris recognition for authentication using an eye tracker
Proceedings of the 2012 ACM conference on Computer and communications security
Iris recognition based on zigzag collarette region and asymmetrical support vector machines
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In 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 of iris complex pattern. It is insensitive to the pupil dilation and not affected by the eyelid or eyelash since it is closed with the pupil. In our algorithm, we could avoid procedure for eyelid detection and searching the radius and the center position of the outer boundary between the iris and the sclera, which is difficult to locate when there is little contrast between iris and sclera regions. The method was implemented and tested using two iris database sets, i.e CASIA and SJTU-IDB, with different contrast quality. The experimental results show that the performance of the proposed method is encouraging and comparable to the traditional method.