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http://dx.doi.org/10.3745/KTSDE.2013.2.9.643

An Enhanced Method for Detecting Iris from Smartphone Images in Real-Time  

Kim, Seong-Hoon (가천대학교 전자계산학과)
Han, Gi-Tae (가천대학교 IT대학 컴퓨터미디어융합학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.9, 2013 , pp. 643-650 More about this Journal
Abstract
In this paper, we propose a novel method for enhancing the detection speed and rate by reducing the computation in Hough Circle Transform on real-time iris detection of smartphone camera image. First of all, we find a face and eyes from input image to detect iris and normalize the iris region into fixed size to prevent variation of size for iris region according to distance from camera lens. Moreover, we carry out histogram equalization to get regular image in bright and dark illumination from smartphone and calculate minimal iris range that contains iris with the distance between corner of the left eye and corner of the right eye on the image. Subsequently, we can minimize the computation of iris detection by applying Hough Circle Transform on the range including the iris only. The experiment is carried out in two case with bright and dark illumination. Our proposed method represents that detection speed is 40% faster and detection rate is 14% better than existing methods.
Keywords
Eye Detection; Iris Detection; Hough Circle Transform; Biometrics; Smart Car;
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