Quality assessment-based iris and face fusion recognition with dynamic weight-Reference-Cited by-同舟云学术

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Quality assessment-based iris and face fusion recognition with dynamic weight

Published:2021-03-14 Issue: Volume: Page:
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Xiao Ke,Tian Yutong,Lu Yuanyao,Lai Yuping,Wang Xunchang

Funder

The National Key RD Program of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s00371-021-02093-7.pdf

Reference31 articles.

1. Dinca, L.M., Hancke, G.: The fall of one, the rise of many: a survey on multi-biometric fusion methods. IEEE Access 5(99), 6247–6289 (2017)

2. Gupta, K, Walia, G.S, Sharma K.: Novel approach for multimodal feature fusion to generate cancelable biometric. Vis. Comput. 1–13 (2020)

3. Kihal, N., Chitroub, S., Meunier, J.: Fusion of iris and palmprint for multimodal biometric authentication. In: International Conference on Image Processing Theory, Tools and Applications, IEEE, pp. 1–6 (2014)

4. Eskandari, M., Sharifi, O.: Optimum scheme selection for face-iris biometric. Iet Biometrics 6(5), 334–341 (2017)

5. Liau, H.F., Isa, D.: Feature selection for support vector machine-based face-iris multimodal biometric system. Expert Syst. Appl. 38(9), 11105–11111 (2011)

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2. Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems;Expert Systems with Applications;2023-08

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4. Possibilistic Reasoning based No-Reference Iris Image Quality Assessment;Procedia Computer Science;2023

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