Improving iris recognition performance via multi-instance fusion at the score level

Fenghua Wang; Xianghua Yao; Jiuqiang Han

doi:10.3788/COL20080611.0824

Chinese Optics Letters, Volume. 6, Issue 11, 824(2008)

Improving iris recognition performance via multi-instance fusion at the score level

Fenghua Wang, Xianghua Yao^*, and Jiuqiang Han

Author Affiliations

School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049

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References(10)

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CLP Journals

[1] Li Xiuyan, Liu Tiegen, Gu Chunmei, Wang Yunxin, Deng Shichao. Recognition Algorithm for Multimodal Biometric Fusion Based on Hand Vein and Iris[J]. Chinese Journal of Lasers, 2009, 36(s2): 322

[2] Farmanullah Jan, Imran Usman, Shahid A.. Robust iris biometric system for visible wavelength data[J]. Chinese Optics Letters, 2013, 11(8): 081501

Cited By

[1] Mohamed Elhoseny, Ahmed Elkhateb, Ahmed Sahlol, Aboul Ella Hassanien. Advances in Soft Computing and Machine Learning in Image Processing, 730, 249(2018).

[2] Qinghan Xiao. Using fuzzy adaptive fusion in face detection. 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM), 157(2011).

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Fenghua Wang, Xianghua Yao, Jiuqiang Han. Improving iris recognition performance via multi-instance fusion at the score level[J]. Chinese Optics Letters, 2008, 6(11): 824

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Paper Information

Received: Jun. 25, 2008

Accepted: --

Published Online: Nov. 17, 2008

The Author Email: Xianghua Yao (fenghuawang@mail.xjtu.edu.cn)

DOI:10.3788/COL20080611.0824

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology