@inproceedings{a45681e1cb5b45929ff8b03f879f59b8,
title = "An embedded self-adaptive iris image acquisition system in a large working volume",
abstract = "Iris image acquisition is a key step in the iris recognition. Usually most of current systems have a short working volume and users need to cooperate in the specific range, which limits the system application. In this paper, we designed an embedded self-adaptive iris image acquisition system using a single camera with a large working volume. It can capture the user's iris in the distance from 0.3 meter to 1.1 meter. A variable zoom camera is colocated in a pan-tilt-unit (PTU) for face detection and iris image acquisition. Combining the face detection and eye location, the system can center and zoom the camera for eyes. The micro controller unit (MCU) controls the peripheral components including PTU, camera, distance sensor, etc. The DSP is used to realize the algorithm and communicate with MCU. Experimental results show the proposed system can capture high-quality iris images efficiently.",
keywords = "Embedded system, Eye location, Face detection, Image acquisition, Iris recognition",
author = "Chunquan Gan and Yuqing He and Jiaqi Li and Huiying Ren and Jixing Wang",
year = "2013",
doi = "10.1007/978-3-319-02961-0_45",
language = "English",
isbn = "9783319029603",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "361--369",
booktitle = "Biometric Recognition - 8th Chinese Conference, CCBR 2013, Proceedings",
note = "2012 International Conference on Service-Oriented Computing, ICSOC 2012 ; Conference date: 16-11-2013 Through 17-11-2013",
}