[1] SHAHEED K, MAO A, QURESHI I et al. Recent advancements in finger vein recognition technology: methodology, challenges and opportunities[J]. Information Fusion, 79, 84-109(2022).

[2] PRIESNITZ J, RATHGEB C, BUCHMANN N et al. An overview of touchless 2D fingerprint recognition[J]. EURASIP Journal on Image and Video Processing, 2021, 1-28(2021).

[3] ZHANG Zikang, YIN Songfeng, CAO Liangcai et al. Method for cross-age face recognition based on identity-age sharing features[J]. Journal of Applied Optics, 44, 565-570(2023).

[4] YANG Yanchen, YUN Lijun, MEI Jianhua et al. Gait recognition method of infrared human body images based on improved ViT[J]. Journal of Applied Optics, 44, 71-78(2023).

[5] GARG M, ARORA A, GUPTA S. An efficient human identification through iris recognition system[J]. Journal of Signal Processing Systems, 93, 701-708(2021).

[6] ZHAO P Y, ZHAO S P, XUE J H et al. The neglected background cues can facilitate finger vein recognition[J]. Pattern Recognition, 28, 136-145(2023).

[7] YAN Z, SCHILLER S, SCHAEFER S. Circle reproduction with interpolatory curves at local maximal curvature points[J]. Computer Aided Geometric Design, 72, 98-110(2019).

[8] BANSAL M, KUMAR M. 2D object recognition: a comparative analysis of SIFT, SURF and ORB feature descriptors[J]. Multimedia Tools and Applications, 80, 18839-18857(2021).

[9] GREENACRE M, GROENEN P J F, HASTIE T et al. Principal component analysis[J]. Nature Reviews Methods Primers, 2, 100-108(2022).

[10] KARANWAL S, DIWAKAR M. OD-LBP: orthogonal difference-local binary pattern for face recognition[J]. Digital Signal Processing, 110, 102948-102955(2021).

[11] ABERNI Y, BOUBCHIR L, DAACHI B. Palm vein recognition based on competitive coding scheme using multi-scale local binary pattern with ant colony optimization[J]. Pattern Recognition Letters, 136, 101-110(2020).

[12] FEI L, ZHANG B, XU Y et al. Local discriminant direction binary pattern for palmprint representation and recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 30, 468-481(2019).

[13] KIM W, SONG J M, PARK K R. Multimodal biometric recognition based on convolutional neural network by the fusion of finger-vein and finger shape using near-infrared (NIR) camera sensor[J]. Sensors, 18, 2296-2302(2018).

[14] PAN X, JUN G, XU Y et al. Improved census transform method for semi-global matching algorithm[C], 1-6(2021).

[15] KOVAČ I, MARÁK P. Finger vein recognition: utilization of adaptive gabor filters in the enhancement stage combined with sift/surf-based feature extraction[J]. Signal, Image and Video Processing, 17, 635-641(2023).

[16] LIU Yuzhen, FAN Xiangji, LIN Sen et al. 3D palmprint recognition based on local directional binary pattern combined with collaborative representation[J]. Chinese Journal of Liquid Crystals and Displays, 37, 726-735(2022).

[17] MENG X, YANG G, YIN Y et al. Finger vein recognition based on local directional code[J]. Sensors, 12, 14937-14952(2012).

[18] YANG W, JI W, XUE J H et al. A hybrid finger identification pattern using polarized depth-weighted binary direction coding[J]. Neurocomputing, 325, 260-268(2019).

[19] FEI L, ZHANG B, ZHANG L et al. Learning compact multi feature codes for palmprint recognition from a single training image per palm[J]. IEEE Transactions on Multimedia, 23, 2930-2942(2020).

[20] HOU B, YAN R. Convolutional autoencoder model for finger-vein verification[J]. IEEE Transactions on Instrumentation and Measurement, 69, 2067-2074(2019).

[21] HE K, ZHANG X, REN S et al. Deep residual learning for image recognition[C], 770-778(2016).