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  • Research Article
  • Open Access

A Study on Iris Localization and Recognition on Mobile Phones

  • 1Email author,
  • 2,
  • 2,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20072008:281943

  • Received: 11 April 2007
  • Accepted: 30 August 2007
  • Published:


A new iris recognition method for mobile phones based on corneal specular reflections (SRs) is discussed. We present the following three novelties over previous research. First, in case of user with glasses, many noncorneal SRs may happen on the surface of glasses and it is very difficult to detect genuine SR on the cornea. To overcome such problems, we propose a successive on/off dual illuminator scheme to detect genuine SRs on the corneas of users with glasses. Second, to detect SRs robustly, we estimated the size, shape, and brightness of the SRs based on eye, camera, and illuminator models. Third, the detected eye (iris) region was verified again using the AdaBoost eye detector. Experimental results with 400 face images captured from 100 persons with a mobile phone camera showed that the rate of correct iris detection was 99.5 (for images without glasses) and 98.9 (for images with glasses or contact lenses). The consequent accuracy of iris authentication was 0.05 of the EER (equal error rate) based on detected iris images.


  • Mobile Phone
  • Contact Lens
  • Face Image
  • Recognition Method
  • Full Article

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Authors’ Affiliations

Department of Electronic Engineering, Biometrics Engineering Research Center, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul, 100-715, South Korea
Department of Computer Science, Biometrics Engineering Research Center, Sangmyung University, Seoul, 110-743, South Korea


© Kang Ryoung Park et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.