Automatic Iris Segmentation Based on Local Areas
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
Postmatch pruning of SIFT pairs for iris recognition
International Journal of Biometrics
An efficient indexing scheme for iris biometric using k-d-b trees
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Local feature based retrieval approach for iris biometrics
Frontiers of Computer Science: Selected Publications from Chinese Universities
Hi-index | 0.00 |
This paper introduces an efficient iris segmentation approach for unconstrained images. Proposed technique is robust to occlusion, specular reflection, variation in illumination and non-centered gaze. For pupil localisation, the input iris image is binarised using an adaptive threshold determined based on number of connected components. Further, pupil center and radius are obtained using spectrum image based approach. The proposed technique performs accurately (97%) with low computation (