A Study on Iris Localization and Recognition on Mobile Phones

Abstract

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.

Iris authentication in handheld devices - considerations for constraint-free acquisition

“…The existing Xenon flash was used as an illumination source in this early research. In a follow up work, dual IR illuminators were added to a similarly modified camera-phone [19]. This modified camera system has an operating range of 35-40 cm (with the help of optical zoom) and captures dual eye regions.…”

Evaluation of combined visible/NIR camera for iris authentication on smartphones

“…The existing Xenon flash was used as an illumination source in this early research. In a follow up work dual IR illuminators were added to a similarly modified camera-phone [24]. This modified camera system has an operating range of 35-40 cm (with the help of optical zoom) and captures dual eye regions.…”

“…Considering a standard iris of size 11mm, approximately 210 pixels across iris will be present in the images acquired using this set up. In this regard the acquisition process of Park et al [24] is constrained, as the eye pair must be well centred in the region delineated by the cold mirror. Also, the authors failed to mention how they dealt with the IR cut-off filter present in front of the CCD sensor.…”

Balancing Security and Usability of Local Security Mechanisms for Mobile Devices

“…Fingerprint, iris and face recognition are appropriate mobile authentication methods (cf. [6][7][8][9][10]). Fingerprint recognition has the best efficiency/price ratio and is therefore the best candidate for mobile devices.…”