22.6 Fingerprint Recognition Methods

Yue, Y.[Yaru], Zhu, J.L.[Jia-Lin],
Algorithm of fingerprint extraction and implementation based on OpenCV,
ICIVC17(163-167)
IEEE DOI 1708
Feature extraction, Fingerprint recognition, Gray-scale, Histograms, Image matching, Image segmentation, Libraries, Vc++6.0, fingerprint extraction, opencv, optimal threshold, otsu BibRef

da Silva Teixeira, R.F.[Raoni Florentino], Leite, N.J.[Neucimar Jerônimo],
A New Framework for Quality Assessment of High-Resolution Fingerprint Images,
PAMI(39), No. 10, October 2017, pp. 1905-1917.
IEEE DOI 1709
BibRef
Earlier:
Improving pore extraction in high resolution fingerprint images using spatial analysis,
ICIP14(4962-4966)
IEEE DOI 1502
BibRef
Earlier:
On Adaptive Fingerprint Pore Extraction,
ICIAR13(72-79).
Springer DOI 1307
BibRef
Earlier:
Unsupervised Fingerprint Segmentation Based on Multiscale Directional Information,
CIARP11(38-46).
Springer DOI 1111
Biomedical imaging, Feature extraction, Measurement, Quality assessment, Biometrics, fingerprint analysis, high-resolution images, pores. Accuracy BibRef

Montoya-Zegarra, J.A.[Javier A.], Papa, J.P.[João P.], Leite, N.J.[Neucimar J.], da Silva Torres, R.[Ricardo], Falcão, A.X.[Alexandre X.],
Novel Approaches for Exclusive and Continuous Fingerprint Classification,
PSIVT09(386-397).
Springer DOI 0901
BibRef

Qu, X., Zhang, D., Lu, G., Guo, Z.,
Door Knob Hand Recognition System,
SMCS(47), No. 11, November 2017, pp. 2870-2881.
IEEE DOI 1710
Biological system modeling. Sensors, Biometrics, feature extraction, optical imaging, pattern recognition, user-centered, design BibRef

Mansouri, H.[Hamid], Pourreza, H.[Hamidreza],
Extreme compression of fingerprint image databases using the model-based transform,
SIViP(11), No. 8, November 2017, pp. 1543-1550.
WWW Link. 1710
BibRef

Jang, H.U., Kim, D., Mun, S.M., Choi, S., Lee, H.K.,
DeepPore: Fingerprint Pore Extraction Using Deep Convolutional Neural Networks,
SPLetters(24), No. 12, December 2017, pp. 1808-1812.
IEEE DOI 1712
feature extraction, fingerprint identification, neural nets, object detection, AFRS, DeepPore, pore extraction BibRef

Ghafoor, M.[Mubeen], Iqbal, S.[Shahzaib], Tariq, S.A.[Syed Ali], Taj, I.A.[Imtiaz A.], Jafri, N.M.[Noman M.],
Efficient fingerprint matching using GPU,
IET-IPR(12), No. 2, February 2018, pp. 274-284.
DOI Link 1801
BibRef

Lin, C., Kumar, A.,
Matching Contactless and Contact-Based Conventional Fingerprint Images for Biometrics Identification,
IP(27), No. 4, April 2018, pp. 2008-2021.
IEEE DOI 1802
fingerprint identification, government data processing, image matching, contact-based fingerprints, deformation correction model (DCM) BibRef

Ahmed, T.[Tauheed], Sarma, M.[Monalisa],
Locality sensitive hashing based space partitioning approach for indexing multidimensional feature vectors of fingerprint image data,
IET-IPR(12), No. 6, June 2018, pp. 1056-1064.
DOI Link 1805
BibRef

Kuribayashi, M.,
Bias-Based Binary Fingerprinting Code Under Erasure Channel,
SPLetters(25), No. 9, September 2018, pp. 1423-1427.
IEEE DOI 1809
binary codes, fingerprint identification, image coding, image watermarking, security of data, optimal tracing algorithm BibRef

Kumar, M.[Munish], Singh, P.[Priyanka],
FPR using machine learning with multi-feature method,
IET-IPR(12), No. 10, October 2018, pp. 1857-1865.
DOI Link 1809
FPR: fingerprint recognition. BibRef

Li, S., Zhang, X.,
Toward Construction-Based Data Hiding: From Secrets to Fingerprint Images,
IP(28), No. 3, March 2019, pp. 1482-1497.
IEEE DOI 1812
Spirals, Fingerprint recognition, Gray-scale, Mathematical model, Image matching, Tools, Robustness, Data hiding, fingerprint, construction BibRef

Haraksim, R.[Rudolf], Galbally, J.[Javier], Beslay, L.[Laurent],
Fingerprint growth model for mitigating the ageing effect on children's fingerprints matching,
PR(88), 2019, pp. 614-628.
Elsevier DOI 1901
Biometrics, Fingerprint recognition, Ageing, Fingerprint growth, Children, Adolescents BibRef

Song, D.H.[De-Hua], Tang, Y.[Yao], Feng, J.F.[Ju-Fu],
Aggregating minutia-centred deep convolutional features for fingerprint indexing,
PR(88), 2019, pp. 397-408.
Elsevier DOI 1901
Fingerprint indexing, Deep convolutional neural network, Aggregating local features, Representation learning, Minutia descriptor BibRef

Chen, J.[Jiong], Zhao, H.[Heng], Cao, Z.C.[Zhi-Cheng], Zhao, W.Q.A.[Wei-Qi-Ang], Pang, L.J.[Liao-Jun],
Successive minutia-free mosaicking for small-sized fingerprint recognition,
IET-IPR(13), No. 7, 30 May 2019, pp. 1146-1151.
DOI Link 1906
BibRef

Zia, T.[Tehseen], Ghafoor, M.[Mubeen], Tariq, S.A.[Syed Ali], Taj, I.A.[Imtiaz A.],
Robust fingerprint classification with Bayesian convolutional networks,
IET-IPR(13), No. 8, 20 June 2019, pp. 1280-1288.
DOI Link 1906
BibRef

Li, Z.Z.[Zhao-Zheng], Lei, W.M.[Wei-Min], Zhang, W.[Wei],
Improvement for distortion resistance of Delaunay triangulation net-based fingerprint templates,
IET-Bio(8), No. 5, September 2019, pp. 325-331.
DOI Link 1908
BibRef

Xu, Y., Lu, G., Lu, Y., Liu, F., Zhang, D.,
Fingerprint Pore Comparison Using Local Features and Spatial Relations,
CirSysVideo(29), No. 10, October 2019, pp. 2927-2940.
IEEE DOI 1910
fingerprint identification, image resolution, high-resolution fingerprint recognition, pore comparison BibRef

Shen, Z., Xu, Y., Li, J., Lu, G.,
Stable Pore Detection for High-Resolution Fingerprint based on a CNN Detector,
ICIP19(2581-2585)
IEEE DOI 1910
High-resolution fingerprint, Pore detection, convolutional neural network, focal loss BibRef

Ding, S.[Shifei], Shi, S.[Songhui], Jia, W.[Weikuan],
Research on fingerprint classification based on twin support vector machine,
IET-IPR(14), No. 2, February 2020, pp. 231-235.
DOI Link 2001
BibRef

Liu, F.[Feng], Zhao, Y.H.[Yuan-Hao], Liu, G.[Guojie], Shen, L.L.[Lin-Lin],
Fingerprint pore matching using deep features,
PR(102), 2020, pp. 107208.
Elsevier DOI 2003
Fingerprint recognition, Pore representation, Direct pore matching, Convolutional neural networks BibRef

Li, S.Y.[Shu-Yi], Zhang, B.[Bob], Fei, L.[Lunke], Zhao, S.P.[Shu-Ping],
Joint discriminative feature learning for multimodal finger recognition,
PR(111), 2021, pp. 107704.
Elsevier DOI 2012
More than just fingerprints. Multimodal biometrics, Feature fusion, Inter-modality, Joint feature learning BibRef

Li, S.Y.[Shu-Yi], Zhang, B.[Bob], Fei, L.[Lunke], Zhao, S.P.[Shu-Ping], Zhou, Y.C.[Yi-Cong],
Learning Sparse and Discriminative Multimodal Feature Codes for Finger Recognition,
MultMed(25), 2023, pp. 805-815.
IEEE DOI 2303
Feature extraction, Biometrics (access control), Binary codes, Representation learning, Histograms, Face recognition, Codes, intra-modality BibRef

Rema, N.R., Mythili, P.,
Extremely High Compression and Identification of Fingerprint Images Using SA4 Multiwavelet Transform,
IJIG(21), No. 3, July 2021, pp. 2150037.
DOI Link 2107
BibRef

Engelsma, J.J.[Joshua James], Grosz, S.[Steven], Jain, A.K.[Anil K.],
PrintsGAN: Synthetic Fingerprint Generator,
PAMI(45), No. 5, May 2023, pp. 6111-6124.
IEEE DOI 2304
Fingerprint recognition, NIST, Face recognition, Fingers, Databases, Training, Generators, Fingerprint synthesis, fingerprint embeddings BibRef

Hasan, M.M.[Md Mahedi], Nasrabadi, N.[Nasser], Dawson, J.[Jeremy],
On improving interoperability for cross-domain multi-finger fingerprint matching using coupled adversarial learning,
IET-Bio(12), No. 4, 2023, pp. 194-210.
DOI Link 2308
fingerprint biometrics, fingerprint identification, sensor fusion BibRef

Dong, C.D.[Cheng-Dong], Kumar, A.[Ajay],
Synthesis of Multi-View 3D Fingerprints to Advance Contactless Fingerprint Identification,
PAMI(45), No. 11, November 2023, pp. 13134-13151.
IEEE DOI 2310
BibRef

Jain, D.K.[Deepak Kumar], Neelakandan, S., Vidyarthi, A.[Ankit], Gupta, D.[Deepak],
Deep learning-based intelligent system for fingerprint identification using decision-based median filter,
PRL(174), 2023, pp. 25-31.
Elsevier DOI 2310
Biometrics, Identity recognition, Deep Learning, Intelligent Systems, Fingerprint recognition BibRef

Li, S.[Simin], Xu, H.[Huangxinxin], Wang, J.[Jiakai], Xu, R.X.[Rui-Xiao], Liu, A.[Aishan], He, F.[Fazhi], Liu, X.L.[Xiang-Long], Tao, D.C.[Da-Cheng],
Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection,
IP(33), 2024, pp. 2714-2729.
IEEE DOI Code:
WWW Link. 2404
Fingerprint recognition, Protection, Privacy, Social networking (online), Computer hacking, privacy protection BibRef

Chai, Z.[Zhi], Peng, X.Y.[Xin-Yong], Huang, X.R.[Xin-Ran], Li, M.Y.[Ming-Ye], Yang, X.L.[Xue-Lin],
Channel-Robust RF Fingerprint Identification Using Multi-Task Learning and Receiver Collaboration,
SPLetters(31), 2024, pp. 2510-2514.
IEEE DOI 2410
Receivers, Training, Feature extraction, Indexes, Wireless fidelity, Internet of Things, Fingerprint recognition, receiver collaboration BibRef

Ennajar, S.[Slimane], Bouarifi, W.[Walid],
Enhancing Student Attendance System through Fingerprint Recognition Using Transfer Learning Techniques,
ISCV24(1-7)
IEEE DOI 2408
Analytical models, Adaptation models, Accuracy, Biometrics (access control), Biological system modeling BibRef

Shoshan, A.[Alon], Bhonker, N.[Nadav], Ben Baruch, E.[Emanuel], Nizan, O.[Ori], Kviatkovsky, I.[Igor], Engelsma, J.[Joshua], Aggarwal, M.[Manoj], Medioni, G.[Gérard],
FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data,
WACV24(6055-6064)
IEEE DOI 2404
Training, Image synthesis, Computational modeling, Biological system modeling, Fingers, Fingerprint recognition, NIST, body pose BibRef