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Detecting Eyelash and Reflection for Accurate Iris Segmentation
Preview AbstractAccurate iris segmentation is presented in this paper, which is composed of two parts, reflection detection and eyelash detection. Eyelashes are classified into two categories, separable and multiple. An edge detector is applied to detect separable eyelashes, and intensity variances are used to recognize multiple eyelashes. Reflection is also divided into two types, strong and weak. A threshold and statistical model is proposed to recognize the strong and weak reflection, respectively. We have developed an iris recognition approach for testing the effectiveness of the proposed segmentation method. The results show that the proposed method can reduce recognition error for the iris recognition approach.
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Preview AbstractDysport vs. Botox: Coke vs Pepsi?
A New technique in Rhinoplasty: Diced Cartilage with Fascia.
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The Role of Fractional Photothermolysis in Laser Skin Rejuvenation.
Chinese Maxillary Protusion Correction with Rhinoplasty.