MATLAB Source Code for a Biometric Identification System Based on Iris Patterns
By L. Mašek, P. Koves. 2003
543 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c10d3ff84a548dc85241a233368395a334a621f0
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Citations in the corpus
- Iris Segmentation Using Geodesic Active Contours (2009, methodology): “, GACs, integro-differential operators, and Masek’s segmentation technique [37] were used to segment the iris.”
- An Effective Approach for Iris Recognition Using Phase-Based Image Matching (2008, methodology): “For more detailed performance comparison, we use the publicly available Matlab source code of the iris recognition algorithm using 1D log-Gabor filter [23].”
- Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition (2016, methodology): “Following the segmentation step, iris regions are normalized and 25 × 240 bit-wise iris templates are generated by extracting log-Gabor features using the publicly available source code of Masek and Kovesi [52].”
- Periocular Biometrics in the Visible Spectrum (2011, methodology): “A public domain iris detector based on the Hough transformation is used for localizing the iris [25].”