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Kang, B.J.,
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Biometrics; Finger-vein; Mean curvature; Personal verification
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Multimoadl biometrics; Finger-vein; Fingerprint; Canonical correlation analysis
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Yang, J.F.[Jin-Feng],
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MVA(27), No. 2, February 2016, pp. 237-250.
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PR(66), No. 1, 2017, pp. 26-33.
Elsevier DOI
1704
Biometric recognition
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Su, K.[Kun],
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Elsevier DOI
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Finger vein image retrieval, Binary hash codes learning, Nonlinearly Subspace Coding
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Yang, J.F.[Jin-Feng],
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Elsevier DOI
1704
Biometrics
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Yang, J.F.[Jin-Feng],
Wu, M.J.[Mei-Jing],
Wang, W.[Wanyin],
Shi, Y.H.[Yi-Hua],
Finger-vein matching based on adaptive vector field estimation,
ICIP12(145-148).
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Söllinger, D.[Dominik],
Trung, P.[Pauline],
Uhl, A.[Andreas],
Non-reference image quality assessment and natural scene statistics to
counter biometric sensor spoofing,
IET-Bio(7), No. 4, July 2018, pp. 314-324.
DOI Link
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BibRef
Bhogal, A.P.S.[Amrit Pal Singh],
Söllinger, D.[Dominik],
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Hämmerle-Uhl, J.[Jutta],
Uhl, A.[Andreas],
Non-reference Image Quality Assessment for Fingervein Presentation
Attack Detection,
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Springer DOI
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Qin, H.,
El-Yacoubi, M.A.,
Deep Representation for Finger-Vein Image-Quality Assessment,
CirSysVideo(28), No. 8, August 2018, pp. 1677-1693.
IEEE DOI
1808
Image quality, Quality assessment, Veins, Iris recognition,
Error analysis, Machine learning, Biometrics,
representation learning
BibRef
Yang, L.,
Yang, G.,
Yin, Y.,
Xi, X.,
Finger Vein Recognition With Anatomy Structure Analysis,
CirSysVideo(28), No. 8, August 2018, pp. 1892-1905.
IEEE DOI
1808
Veins, Pattern matching, Imaging, Image recognition, Fingers,
Character recognition, Finger vein recognition,
elastic matching
BibRef
Omar, R.R.[Raid R.],
Han, T.T.[Ting-Ting],
Al-Sumaidaee, S.A.M.[Saadoon A. M.],
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Deep finger texture learning for verifying people,
IET-Bio(8), No. 1, January 2019, pp. 40-48.
DOI Link
1901
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Finger vein recognition using mutual sparse representation
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IET-Bio(8), No. 1, January 2019, pp. 49-58.
DOI Link
1901
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Xie, C.[Cihui],
Kumar, A.[Ajay],
Finger vein identification using Convolutional Neural Network and
supervised discrete hashing,
PRL(119), 2019, pp. 148-156.
Elsevier DOI
1902
BibRef
Tang, S.[Su],
Zhou, S.[Shan],
Kang, W.X.[Wen-Xiong],
Wu, Q.X.[Qiu-Xia],
Deng, F.Q.[Fei-Qi],
Finger vein verification using a Siamese CNN,
IET-Bio(8), No. 5, September 2019, pp. 306-315.
DOI Link
1908
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Hu, H.[Hui],
Kang, W.X.[Wen-Xiong],
Lu, Y.T.[Yu-Ting],
Fang, Y.X.[Yu-Xun],
Liu, H.D.[Hong-Da],
Zhao, J.H.[Jun-Hong],
Deng, F.Q.[Fei-Qi],
FV-Net: learning a finger-vein feature representation based on a CNN,
ICPR18(3489-3494)
IEEE DOI
1812
Feature extraction, Veins, Training, Fingers, Protocols, Automation,
Databases, finger vein verification, feature representation,
convolutional neural network
BibRef
Kuzu, R.S.,
Maiorana, E.[Emanuele],
Campisi, P.[Patrizio],
Vein-Based Biometric Verification Using Densely-Connected
Convolutional Autoencoder,
SPLetters(27), 2020, pp. 1869-1873.
IEEE DOI
2011
Veins, Training, Biometrics (access control), Fingers, Encoding,
Decoding, Deep learning, Biometric recognition,
vein patterns
BibRef
Prommegger, B.[Bernhard],
Uhl, A.[Andreas],
A fully rotation invariant multi-camera finger vein recognition
system,
IET-Bio(10), No. 3, 2021, pp. 275-289.
DOI Link
2106
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Jin, J.[Jian],
Di, S.[Si],
Li, W.J.[Wei-Jian],
Sun, X.T.[Xue-Tong],
Wang, X.[Xudi],
Finger vein recognition algorithm under reduced field of view,
IET-IPR(15), No. 4, 2021, pp. 947-955.
DOI Link
2106
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Wang, K.X.[Kai-Xuan],
Chen, G.H.[Guang-Hua],
Chu, H.J.[Hong-Jia],
Finger Vein Recognition Based on Multi-Receptive Field Bilinear
Convolutional Neural Network,
SPLetters(28), 2021, pp. 1590-1594.
IEEE DOI
2108
Veins, Fingers, Convolution, Feature extraction, Kernel, Training,
Image recognition, Multi-receptive field, lightweight,
model parameters
BibRef
Boucetta, A.[Aldjia],
Boussaad, L.[Leila],
Biometric Authentication Using Finger-Vein Patterns with Deep-Learning
and Discriminant Correlation Analysis,
IJIG(22), No. 1 2022, pp. 2250013.
DOI Link
2202
BibRef
Moron, T.[Tomasz],
Bernacki, K.[Krzysztof],
Fiolka, J.[Jerzy],
Peng, J.[Jia],
Popowicz, A.[Adam],
Recognition of the finger vascular system using multi-wavelength
imaging,
IET-Bio(11), No. 3, 2022, pp. 249-259.
DOI Link
2205
BibRef
Zhao, P.Y.[Peng-Yang],
Zhao, S.P.[Shu-Ping],
Chen, L.Y.[Lu-Yang],
Yang, W.M.[Wen-Ming],
Liao, Q.M.[Qing-Min],
Exploiting Multiperspective Driven Hierarchical Content-Aware Network
for Finger Vein Verification,
CirSysVideo(32), No. 11, November 2022, pp. 7938-7950.
IEEE DOI
2211
Veins, Feature extraction, Fingers, Entropy, Imaging, Cameras,
Multi-perspective finger vein verification,
deep neural network
BibRef
Zhao, P.[Pengyang],
Zhao, S.P.[Shu-Ping],
Xue, J.H.[Jing-Hao],
Yang, W.M.[Wen-Ming],
Liao, Q.M.[Qing-Min],
The neglected background cues can facilitate finger vein recognition,
PR(136), 2023, pp. 109199.
Elsevier DOI
2301
Finger vein recognition, Vein trait, Background cue,
Intensity orientation vector, Binary feature learning
BibRef
Wu, Z.[Zhitao],
Qu, H.X.[Hong-Xu],
Zhang, H.G.[Hai-Gang],
Yang, J.F.[Jin-Feng],
Robust graph fusion and recognition framework for fingerprint and
finger-vein,
IET-Bio(12), No. 1, 2023, pp. 13-24.
DOI Link
2301
BibRef
Zhang, H.J.[Hui-Jie],
Lu, L.[Ling],
Local Binary Convolution Based Prior Knowledge of Multi-Direction
Features for Finger Vein Verification,
IEICE(E106-D), No. 5, May 2023, pp. 1089-1093.
WWW Link.
2305
BibRef
Zhang, Z.X.[Zhong-Xia],
Wang, M.[Mingwen],
Finger vein recognition based on lightweight convolutional attention
model,
IET-IPR(17), No. 6, 2023, pp. 1864-1873.
DOI Link
2305
attention mechanism, convolutional block attention module,
finger vein recognition, lightweight convolutional neural network
BibRef
Song, Y.Z.[Yi-Zhuo],
Zhao, P.Y.[Peng-Yang],
Yang, W.M.[Wen-Ming],
Liao, Q.M.[Qing-Min],
Zhou, J.[Jie],
EIFNet: An Explicit and Implicit Feature Fusion Network for Finger
Vein Verification,
CirSysVideo(33), No. 5, May 2023, pp. 2520-2532.
IEEE DOI
2305
Veins, Feature extraction, Fingers, Convolution, Deep learning,
Data mining, Image recognition, Finger vein verification,
feature fusion
BibRef
Madhusudhan, M.V.,
Rani, V.U.[V. Udaya],
Hegde, C.[Chetana],
Finger Vein Recognition Model for Biometric Authentication Using
Intelligent Deep Learning,
IJIG(23), No. 3 2023, pp. 2240004.
DOI Link
2306
BibRef
Qin, H.F.[Hua-Feng],
Hu, R.S.[Rong-Shan],
El-Yacoubi, M.A.[Mounim A.],
Li, Y.T.[Yan-Tao],
Gao, X.B.[Xin-Bo],
Local Attention Transformer-Based Full-View Finger-Vein
Identification,
CirSysVideo(33), No. 6, June 2023, pp. 2767-2782.
IEEE DOI
2306
Veins, Fingers, Cameras, Feature extraction, Face recognition,
Deep learning, Multi-view vein identification
BibRef
Aherrahrou, N.,
Tairi, H.,
A novel cancelable finger vein templates based on LDM and RetinexGan,
PR(142), 2023, pp. 109643.
Elsevier DOI
2307
Cancelable biometric, Security, Template protection,
Finger vein, LDM, RetinexGan
BibRef
Pan, Z.Y.[Zai-Yu],
Wang, J.[Jun],
Shen, Z.W.[Zheng-Wen],
Han, S.Y.[Shu-Yu],
Disentangled Representation and Enhancement Network for Vein
Recognition,
CirSysVideo(33), No. 8, August 2023, pp. 4164-4176.
IEEE DOI
2308
Veins, Feature extraction, Shape, Image recognition, Task analysis,
Data mining, Training, Vein recognition,
weight-guided feature enhancement module (WGFEM)
BibRef
Zhao, P.Y.[Peng-Yang],
Song, Y.Z.[Yi-Zhuo],
Wang, S.Q.[Si-Qi],
Xue, J.H.[Jing-Hao],
Zhao, S.P.[Shu-Ping],
Liao, Q.M.[Qing-Min],
Yang, W.M.[Wen-Ming],
VPCFormer: A transformer-based multi-view finger vein recognition
model and a new benchmark,
PR(148), 2024, pp. 110170.
Elsevier DOI Code:
WWW Link.
2402
Database, Multi-view finger vein recognition, Transformer, Attention mechanism
BibRef
Song, Y.Z.[Yi-Zhuo],
Zhao, P.Y.[Peng-Yang],
Wang, S.Q.[Si-Qi],
Liao, Q.M.[Qing-Min],
Yang, W.M.[Wen-Ming],
Study of 3D Finger Vein Biometrics on Imaging Device Design and
Multi-View Verification,
CirSysVideo(34), No. 4, April 2024, pp. 3043-3048.
IEEE DOI Code:
WWW Link.
2404
Fingers, Feature extraction, Veins, Cameras,
Solid modeling, Lighting, Finger vein verification, local dominant feature
BibRef
Chi, Y.H.[Yun-Hao],
Yang, L.[Lu],
Hao, F.[Fanchang],
Liu, H.Y.[Hai-Ying],
Reverse Attention-Based Multi-Feature Interaction Network for Finger
Vein Image Quality Evaluation,
SPLetters(31), 2024, pp. 1054-1058.
IEEE DOI
2405
Fingers, Feature extraction, Image quality, Gray-scale,
Image recognition, Convolution, Databases,
reverse attention module
BibRef
Arican, T.[Tugçe],
Veldhuis, R.[Raymond],
Spreeuwers, L.[Luuk],
Bergeron, L.[Loïc],
Busch, C.[Christoph],
Jalilian, E.[Ehsaneddin],
Kauba, C.[Christof],
Kirchgasser, S.[Simon],
Marcel, S.[Sébastien],
Prommegger, B.[Bernhard],
Raja, K.[Kiran],
Ramachandra, R.[Raghavendra],
Uhl, A.[Andreas],
A Comparative Study of Cross-Device Finger Vein Recognition Using
Classical and Deep Learning Approaches,
IET-Bio(2024), No. 1, 2024, pp. 3236602.
DOI Link
2405
BibRef
Normakristagaluh, P.[Pesigrihastamadya],
Laanstra, G.J.[Geert J.],
Spreeuwers, L.J.[Luuk J.],
Veldhuis, R.N.J.[Raymond N. J.],
The Impact of Illumination on Finger Vascular Pattern Recognition,
IET-Bio(2024), No. 1, 2024, pp. 4413655.
DOI Link
2405
BibRef
Li, M.[Min],
Jiang, X.[Xue],
Zhu, H.H.[Hong-Hao],
Liu, F.[Fei],
Wang, H.[Huabin],
Tao, L.[Liang],
Liu, S.J.[Shi-Jun],
A Finger Vein Recognition Algorithm Based on the Histogram of
Variable Curvature Directional Binary Statistics,
IET-Bio(2024), No. 1, 2024, pp. 7408331.
DOI Link
2410
BibRef
Nguyen, H.H.[Huy H.],
Le, T.N.[Trung-Nghia],
Yamagishi, J.[Junichi],
Echizen, I.[Isao],
Analysis of Master Vein Attacks on Finger Vein Recognition Systems,
WACV23(1900-1908)
IEEE DOI
2302
Adaptation models, Machine learning algorithms, Veins,
Computational modeling, Robustness, Adversarial machine learning,
image and video synthesis
BibRef
Kotwal, K.[Ketan],
Marcel, S.[Sébastien],
Residual Feature Pyramid Network for Enhancement of Vascular Patterns,
Biometrics22(1587-1594)
IEEE DOI
2210
Histograms, Protocols, Veins, Pipelines, Fingers,
Computer architecture, Network architecture
BibRef
Wimmer, G.[Georg],
Prommegger, B.[Bernhard],
Uhl, A.[Andreas],
Finger Vein Recognition and Intra-Subject Similarity Evaluation of
Finger Veins using the CNN Triplet Loss,
ICPR21(400-406)
IEEE DOI
2105
Veins, Fingers, Robustness, Pattern recognition, Standards
BibRef
Zhang, L.P.[Li-Ping],
Li, W.J.[Wei-Jun],
Ning, X.[Xin],
Sun, L.J.[Lin-Jun],
Dong, X.L.[Xiao-Li],
A Local Descriptor with Physiological Characteristic for Finger Vein
Recognition,
ICPR21(4873-4878)
IEEE DOI
2105
Histograms, Image recognition, Databases, Veins, Fingers, Physiology,
Stability analysis, Finger vein recognition, local feature descriptor
BibRef
Prommegger, B.[Bernhard],
Wimmer, C.[Cieorg],
Uhl, A.[Andreas],
Rotation Detection in Finger Vein Biometrics using CNNs,
ICPR21(6531-6537)
IEEE DOI
2105
Training, Protocols, Biometrics (access control), Shape, Veins,
Fingers, Training data
BibRef
Söllinger, D.[Dominik],
Debiasi, L.[Luca],
Uhl, A.[Andreas],
Can you really trust the sensor's PRNU? How image content might
impact the finger vein sensor identification performance,
ICPR21(7782-7789)
IEEE DOI
2105
Biometrics (access control), Veins, Fingers, Lighting, Pattern recognition
BibRef
Piciucco, E.[Emanuela],
Kuzu, R.S.[Ridvan Salih],
Maiorana, E.[Emanuele],
Campisi, P.[Patrizio],
On the Cross-Finger Similarity of Vein Patterns,
NTIAP19(12-20).
Springer DOI
1909
BibRef
Vasilopoulos, C.,
Skodras, A.,
A Novel Finger Vein Recognition System Based on Enhanced Maximum
Curvature Points,
IVMSP18(1-5)
IEEE DOI
1809
Veins, Databases, Pattern matching, Pins, Fingers,
Electromagnetic compatibility, Image resolution,
Personal identification
BibRef
Mohamed, C.,
Akhtar, Z.,
Eddine, B.N.,
Falk, T.H.,
Combining left and right wrist vein images for personal verification,
IPTA17(1-6)
IEEE DOI
1804
feature extraction, image fusion, vein recognition,
PUT wrist vein dataset, feature extraction method,
Wrist vein
BibRef
Wang, K.,
Yang, L.,
Yang, G.,
Yin, Y.,
Integration of discriminative features and similarity-preserving
encoding for finger vein image retrieval,
ICIP17(3525-3529)
IEEE DOI
1803
Encoding, Entropy, Feature extraction, Histograms, Image retrieval,
Testing, Veins, Finger vein recognition, image retrieval,
statistic texture feature
BibRef
Xie, S.[Song],
Fang, L.Y.[Li-Yong],
Wang, Z.Q.[Zi-Qian],
Ma, Z.C.[Zhao-Chun],
Li, J.Y.[Jing-Yuan],
Review of personal identification based on near infrared vein imaging
of finger,
ICIVC17(206-213)
IEEE DOI
1708
Character recognition, Image edge detection, Imaging, Thumb, Veins,
feature extraction, finger vein recognition, recognition
BibRef
Frucci, M.[Maria],
Riccio, D.[Daniel],
Sanniti di Baja, G.[Gabriella],
Serino, L.[Luca],
Partial Matching of Finger Vein Patterns Based on Point Sets Alignment
and Directional Information,
CIARP16(19-26).
Springer DOI
1703
BibRef
Sharifzadeh, H.R.[Hamid Reza],
Zhang, H.Y.[Heng-Yi],
Kong, A.W.K.[Adams Wai-Kin],
Vein Pattern Visualization through Multiple Mapping Models and Local
Parameter Estimation for Forensic Investigation,
ICPR14(160-165)
IEEE DOI
1412
Color
BibRef
Lu, Y.[Yu],
Yoon, S.[Sook],
Xie, S.J.[Shan Juan],
Yang, J.[Jucheng],
Wang, Z.H.[Zhi-Hui],
Park, D.S.[Dong Sun],
Finger Vein Recognition Using Histogram of Competitive Gabor
Responses,
ICPR14(1758-1763)
IEEE DOI
1412
Educational institutions
BibRef
Tan, D.[Dun],
Yang, J.F.[Jin-Feng],
Shi, Y.H.[Yi-Hua],
Xu, C.H.[Cheng-Hua],
A Hierarchal Framework for Finger-Vein Image Classification,
ACPR13(833-837)
IEEE DOI
1408
feature extraction
BibRef
Cao, D.[Di],
Yang, J.F.[Jin-Feng],
Shi, Y.H.[Yi-Hua],
Xu, C.H.[Cheng-Hua],
Structure Feature Extraction for Finger-Vein Recognition,
ACPR13(567-571)
IEEE DOI
1408
curve fitting
BibRef
Yang, W.M.[Wen-Ming],
Huang, X.L.[Xiao-La],
Liao, Q.M.[Qing-Min],
Fusion of finger vein and finger dorsal texture for personal
identification based on Comparative Competitive Coding,
ICIP12(1141-1144).
IEEE DOI
1302
BibRef
Kim, H.G.[Hwi-Gang],
Lee, E.J.[Eun Jung],
Yoon, G.J.[Gang-Joon],
Yang, S.D.[Sung-Dae],
Lee, E.C.[Eui Chul],
Yoon, S.M.[Sang Min],
Illumination Normalization for Sift Based Finger Vein Authentication,
ISVC12(II: 21-30).
Springer DOI
1209
BibRef
Tang, C.Y.[Chao-Ying],
Zhang, H.Y.[Heng-Yi],
Kong, A.W.K.[Adams Wai-Kin],
Craft, N.[Noah],
Visualizing vein patterns from color skin images based on image mapping
for forensics analysis,
ICPR12(2387-2390).
WWW Link.
1302
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Tang, C.Y.[Chao-Ying],
Kong, A.W.K.[Adams Wai Kin],
Craft, N.[Noah],
Uncovering vein patterns from color skin images for forensic analysis,
CVPR11(665-672).
IEEE DOI
1106
BibRef
Tang, D.[Darun],
Huang, B.[Beining],
Li, R.F.[Rong-Feng],
Li, W.X.[Wen-Xin],
A Person Retrieval Solution Using Finger Vein Patterns,
ICPR10(1306-1309).
IEEE DOI
1008
BibRef
Huang, B.N.[Bei-Ning],
Dai, Y.G.[Yang-Gang],
Li, R.F.[Rong-Feng],
Tang, D.[Darun],
Li, W.X.[Wen-Xin],
Finger-Vein Authentication Based on Wide Line Detector and Pattern
Normalization,
ICPR10(1269-1272).
IEEE DOI
1008
BibRef
Yang, J.F.[Jin-Feng],
Li, X.[Xu],
Efficient Finger Vein Localization and Recognition,
ICPR10(1148-1151).
IEEE DOI
1008
BibRef
Yu, X.[Xiang],
Yang, W.M.[Wen-Ming],
Liao, Q.M.[Qing-Min],
Zhou, F.[Fei],
A Novel Finger Vein Pattern Extraction Approach for Near-Infrared Image,
CISP09(1-5).
IEEE DOI
0910
BibRef
Guan, F.X.[Feng-Xu],
Wang, K.[Kejun],
Mo, H.W.[Hong-Wei],
Ma, H.[Hui],
Liu, J.Y.[Jing-Yu],
Research of Finger Vein Recognition Based on Fusion of Wavelet Moment
and Horizontal and Vertical 2DPCA,
CISP09(1-5).
IEEE DOI
0910
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Liveness Detection, Spoofing, Fingerprint Recognition .