Z
Zhuoshi Wei
Researcher at Chinese Academy of Sciences
Publications - 10
Citations - 500
Zhuoshi Wei is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Iris recognition & AdaBoost. The author has an hindex of 8, co-authored 10 publications receiving 471 citations.
Papers
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Proceedings ArticleDOI
Counterfeit iris detection based on texture analysis
TL;DR: This paper proposes three measures to detect fake iris: measuring iris edge sharpness, applying Iris-Texton feature for characterizing the visual primitives of iris textures and using selected features based on co-occurrence matrix (CM).
Book ChapterDOI
Efficient Iris Spoof Detection via Boosted Local Binary Patterns
TL;DR: A kernel density estimation scheme is proposed to complement the insufficiency of counterfeit iris images during Adaboost training and outperforms state-of-the-art methods in both accuracy and speed.
Book ChapterDOI
Robust and fast assessment of iris image quality
TL;DR: A novel approach for iris image quality assessment is proposed that uses three distinctive features to distinguish three kinds of poor quality images, i.e. defocus, motion blur and occlusion.
Book ChapterDOI
Nonlinear Iris deformation correction based on Gaussian model
TL;DR: The proposed iris deformation correction algorithm achieves a lower Equal Error Rate (EER), compared to the other two linear and nonlinear normalization methods in the literature, making the system more robust in realistic environments.
Proceedings ArticleDOI
Synthesis of large realistic iris databases using patch-based sampling
TL;DR: Qualitative and quantitative studies reveal that synthetic databases are well suited for evaluating iris recognition systems by achieving three goals: the synthetic iris images bear a close resemblance to real iris image in terms of visual appearance, and the proposed framework is able to generate databases with large capacity.