A Simply Integrated Dual-Sensor Based Non-Intrusive Iris Image Acquisition System

Jang-Hee Yoo, Byung Jun Kang; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, pp. 113-117

Abstract


We describe an image acquisition system based on an integrated dual-sensor with a visible and infrared spectrum, which enables a multimodal biometric system, including non-intrusive iris recognition. To implement this as capable of simultaneously acquiring facial and iris images, a beam splitter for reflecting or transmitting visible and infrared light representing an image of a target object is used along an identical ray path divided into different bands. Namely, the beam splitter divides incident light from an object into the dual-sensor. Accordingly, an image of the iris area and an image of the facial region can be simultaneously acquired from a single image acquisition system, and an iris image can be acquired from a relatively long distance. The iris biometric system is implemented by using the facial detection and iris recognition SDK. In experiments, we have successfully evaluated the performance of the proposed image acquisition system with a non-intrusive iris recognition algorithm.

Related Material


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[bibtex]
@InProceedings{Yoo_2015_CVPR_Workshops,
author = {Yoo, Jang-Hee and Jun Kang, Byung},
title = {A Simply Integrated Dual-Sensor Based Non-Intrusive Iris Image Acquisition System},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2015}
}