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  1. No Access

    Chapter and Conference Paper

    An Iris Detection Method Based on Structure Information

    In this paper, we propose an iris detection method to determine iris existence. The method extracts 4 types of features, i.e., contrast feature, symmetric feature, isotropy feature and disconnectedness feature...

    Jiali Cui, Tieniu Tan, **nwen Hou in Advances in Biometric Person Authentication (2005)

  2. Chapter and Conference Paper

    Robust and Fast Assessment of Iris Image Quality

    Iris recognition is one of the most reliable methods for personal identification. However, not all the iris images obtained from the device are of high quality and suitable for recognition. In this paper, a no...

    Zhuoshi Wei, Tieniu Tan, Zhenan Sun, Jiali Cui in Advances in Biometrics (2005)

  3. No Access

    Chapter and Conference Paper

    An Iris Recognition Algorithm Using Local Extreme Points

    The performance of an iris recognition algorithm depends greatly on its classification ability as well as speed. In this paper, an iris recognition algorithm using local extreme points is proposed. It first de...

    Jiali Cui, Yunhong Wang, Tieniu Tan, Li Ma, Zhenan Sun in Biometric Authentication (2004)

  4. No Access

    Chapter and Conference Paper

    Improving Iris Recognition Accuracy via Cascaded Classifiers

    As a reliable approach to human identification, iris recognition has received increasing attention in recent years. In the literature of iris recognition, local feature of image details has been verified as an...

    Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui in Biometric Authentication (2004)