Accurate iris segmentation based on novel reflection and eyelash detection model
By W. Kong, David Zhang. Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing. ISIMP 2001 (IEEE Cat. No.01EX489), 2001
303 citations recorded by the source corpus.
Subfields: Information Systems, Human-Computer Interaction, Signal Processing
View Paper: https://www.semanticscholar.org/paper/6267095852f83d039cb1d79ee7a1bf441dbad1be
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In Information Systems
In Human-Computer Interaction
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Citations in the corpus
- Recognition of Human Iris Patterns for Biometric Identification (2003, methodology): “Wildes et al. and Kong and Zhang also make use of the parabolic Hough transform to detect the eyelids, approximating the upper and lower eyelids with parabolic arcs, which are represented as; )sin)(cos)(()cos)(sin)(( 2 jjjjjjjjj kyhxakyhx θθθθ −+−=−+−− (2.2) where controls the curvature, is the peak”
- Toward Accurate and Fast Iris Segmentation for Iris Biometrics (2009, unknown): “Soon, works on occlusion detection (e.g., eyelid and eyelash detection) emerged in the literature [17], [18], [20], [19].”