Journal of Optoelectronics · Laser, Volume. 33, Issue 6, 660(2022)

Finger-vein recognition method based on LRC and multi-sample expansion

TAO Zhiyong* and XU Zhixue
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  • [in Chinese]
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    References(9)

    [2] [2] DEV R,KHANAM R.Review on finger vein feature extraction methods[C]//2017 International Conference on Computing,Communication and Automation(ICCCA),May 5-6,2017,Greater Noida,India.New York:IEEE,2017:1209-1213.

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    [8] [8] KHELLAT-KIHEL S,ABRISHAMBAF R, CARDOSO N, et al.Finger vein recognition using Gabor filter and support vector machine[C]//International Image Processing,Applications and Systems Conference,November 5-7,2014,Sfax,Tunisia.New York:IEEE,2015:1-6.

    [10] [10] WU J D,LIU C T.Finger-vein pattern identification using SVM and neural network technique[J].Expert Systems with Applications,2011,38(11):14284-14289.

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    [13] [13] DAS R,PICIUCCO E,MAIORANA E,et al.Convolutional neural network for finger-vein-based biometric identification[J].IEEE Transactions on Information Forensics and Security,2019,14(2):360-373.

    [16] [16] QIU S R,LIU Y,ZHOU Y,et al.Finger-vein recognition based on dual-sliding window localization and pseudo elliptical transformer [J].Expert Systems with Applications,2016,64:618-632.

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    TAO Zhiyong, XU Zhixue. Finger-vein recognition method based on LRC and multi-sample expansion[J]. Journal of Optoelectronics · Laser, 2022, 33(6): 660

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    Paper Information

    Received: Oct. 15, 2021

    Accepted: --

    Published Online: Oct. 9, 2024

    The Author Email: TAO Zhiyong (xyzmail@126.com)

    DOI:10.16136/j.joel.2022.06.0708

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