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IEEE Transactions on Pattern Analysis and Machine Intelligence
Multispectral Iris Analysis: A Preliminary Study51
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Key Techniques and Methods for Imaging Iris in Focus
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
A Practical Design of Iris Recognition System Based on DSP
IHMSC '09 Proceedings of the 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01
Parallelizing iris recognition
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Exploring multispectral Iris recognition beyond 900nm
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Machine Vision and Applications
Extended-depth-of-field iris recognition using unrestored wavefront-coded imagery
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Design and implementation of a multispectral iris capture system
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Quality-Based Fusion for Multichannel Iris Recognition
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Iris biometrics for embedded systems
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Iris image capture system design for personal identification
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Non-Orthogonal View Iris Recognition System
IEEE Transactions on Circuits and Systems for Video Technology
Long range iris acquisition system for stationary and mobile subjects
IJCB '11 Proceedings of the 2011 International Joint Conference on Biometrics
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Iris recognition is a high-precision biometric identification technology with the advantages of uniqueness, stability, non-invasive. Iris image's quality affect the performance of the recognition algorithms. The ease of use and robustness of the recognition system is also affected by the image acquisition method, so iris image acquisition plays an important role in the whole system. Based on the basic principles of iris image acquisition, this paper gives the current advances of the iris recognition system. Describes and analyzes the typical commercial products of iris image acquisition system, including the operating range, capture volume, illumination mode, etc.. According to the bottleneck of the current iris image acquisition and recognition system, major research issues in the area of iris image acquisition are presented and analyzed, such as the stand-off system, variety of illumination mode, etc. At last, gives the development trend and future work of the iris image acquisition system.