Mabuza-Hocquet, Gugulethu PNelwamondo, Fulufhelo VMarwala, T2016-04-222016-04-222015-06Mabuza-Hocquet, G, Nelwamondo, F and Marwala, T. 2015. Robust iris segmentation through parameterization of the Chan-Vese algorithm. In: International Conference on Communication and Computer Engineering, Phuket, Thailand, 9-11 June 2015http://link.springer.com/chapter/10.1007%2F978-3-319-24584-3_17http://hdl.handle.net/10204/8518International Conference on Communication and Computer Engineering, Phuket, Thailand, 9-11 June 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's websiteThe performance of an iris recognition system relies on automated processes from the segmentation stage to the matching stage. Each stage has traditional algorithms used successfully over the years. The drawback is that these algorithms assume that the pupil-iris boundaries are perfect circles sharing the same center, hence only use circle fitting methods for segmentation. The side effect posed by the traditional rubber sheet model used for normalization is; one cannot work backwards to place the discriminative features on the original image. This paper proposes a different approach to each stage using algorithms different from the traditional ones to address the above issues. Bresenham’s circle algorithm to locate and compute pupil-iris boundaries. Chan-Vese algorithm with pre-defined initial contour and curve evolution parameters for accurate segmentation. Preprocessing techniques to enhance and detect iris features for extraction. Labeling features of strongest pixel connectivity and using Harris algorithm for feature extraction and matching.enIris segmentationChan-Vese algorithmSobel edge detectorHarris corner detectorFeature matchingConference PresentationMabuza-Hocquet, G., Nelwamondo, F. V., & Marwala, T. (2015). Robust iris segmentation through parameterization of the Chan-Vese algorithm. Springer. http://hdl.handle.net/10204/8518Mabuza-Hocquet, G, Fulufhelo V Nelwamondo, and T Marwala. "Robust iris segmentation through parameterization of the Chan-Vese algorithm." (2015): http://hdl.handle.net/10204/8518Mabuza-Hocquet G, Nelwamondo FV, Marwala T, Robust iris segmentation through parameterization of the Chan-Vese algorithm; Springer; 2015. http://hdl.handle.net/10204/8518 .TY - Conference Presentation AU - Mabuza-Hocquet, G AU - Nelwamondo, Fulufhelo V AU - Marwala, T AB - The performance of an iris recognition system relies on automated processes from the segmentation stage to the matching stage. Each stage has traditional algorithms used successfully over the years. The drawback is that these algorithms assume that the pupil-iris boundaries are perfect circles sharing the same center, hence only use circle fitting methods for segmentation. The side effect posed by the traditional rubber sheet model used for normalization is; one cannot work backwards to place the discriminative features on the original image. This paper proposes a different approach to each stage using algorithms different from the traditional ones to address the above issues. Bresenham’s circle algorithm to locate and compute pupil-iris boundaries. Chan-Vese algorithm with pre-defined initial contour and curve evolution parameters for accurate segmentation. Preprocessing techniques to enhance and detect iris features for extraction. Labeling features of strongest pixel connectivity and using Harris algorithm for feature extraction and matching. DA - 2015-06 DB - ResearchSpace DP - CSIR KW - Iris segmentation KW - Chan-Vese algorithm KW - Sobel edge detector KW - Harris corner detector KW - Feature matching LK - https://researchspace.csir.co.za PY - 2015 T1 - Robust iris segmentation through parameterization of the Chan-Vese algorithm TI - Robust iris segmentation through parameterization of the Chan-Vese algorithm UR - http://hdl.handle.net/10204/8518 ER -