Jain, A.K.[Anil K.],
Feng, J.J.[Jian-Jiang],
Nandakumar, K.[Karthik],
Fingerprint Matching,
Computer(43), No. 2, February 2010, pp. 36-44.
IEEE DOI
1003
BibRef
Jain, A.K.[Anil K.],
Feng, J.J.[Jian-Jiang],
Nagar, A.[Abhishek],
Nandakumar, K.[Karthik],
On matching latent fingerprints,
Biometrics08(1-8).
IEEE DOI
0806
BibRef
Jain, A.K.[Anil K.],
Feng, J.J.[Jian-Jiang],
Latent Fingerprint Matching,
PAMI(33), No. 1, January 2011, pp. 88-100.
IEEE DOI
1011
BibRef
Earlier: A2, A1:
Filtering large fingerprint database for latent matching,
ICPR08(1-4).
IEEE DOI
0812
Inadvertent prints (not clear and clean). Errors and distortions.
See also Latent Palmprint Matching.
BibRef
Feng, J.J.[Jian-Jiang],
Zhou, J.[Jie],
Jain, A.K.,
Orientation Field Estimation for Latent Fingerprint Enhancement,
PAMI(35), No. 4, April 2013, pp. 925-940.
IEEE DOI
1303
See also model-based method for the computation of fingerprints' orientation field, A.
BibRef
Yang, X.,
Feng, J.J.,
Zhou, J.,
Localized Dictionaries Based Orientation Field Estimation for Latent
Fingerprints,
PAMI(36), No. 5, May 2014, pp. 955-969.
IEEE DOI
1405
Databases
BibRef
Feng, J.J.[Jian-Jiang],
Yoon, S.[Soweon],
Jain, A.K.[Anil K.],
Latent Fingerprint Matching: Fusion of Rolled and Plain Fingerprints,
ICB09(695-704).
Springer DOI
0906
BibRef
Qian, K.,
Schott, M.,
Zheng, W.,
Dittmann, J.,
Context-based approach of separating contactless captured
high-resolution overlapped latent fingerprints,
IET-Bio(3), No. 2, June 2014, pp. 101-112.
DOI Link
1407
BibRef
Cao, K.,
Liu, E.,
Jain, A.K.,
Segmentation and Enhancement of Latent Fingerprints:
A Coarse to Fine Ridge Structure Dictionary,
PAMI(36), No. 9, September 2014, pp. 1847-1859.
IEEE DOI
1408
Dictionaries
BibRef
Arora, S.S.[Sunpreet S.],
Liu, E.,
Cao, K.[Kai],
Jain, A.K.[Anil K.],
Latent Fingerprint Matching:
Performance Gain via Feedback from Exemplar Prints,
PAMI(36), No. 12, December 2014, pp. 2452-2465.
IEEE DOI
1411
Data mining
BibRef
Krish, R.P.[R. Prasad],
Fierrez, J.,
Ramos, D.,
Ortega-Garcia, J.,
Bigun, J.,
Pre-registration of latent fingerprints based on orientation field,
IET-Bio(4), No. 2, 2015, pp. 42-52.
DOI Link
1507
correlation methods
BibRef
Liu, S.[Shuxin],
Liu, M.H.[Man-Hua],
Yang, Z.Y.[Zong-Yuan],
Sparse coding based orientation estimation for latent fingerprints,
PR(67), No. 1, 2017, pp. 164-176.
Elsevier DOI
1704
Orientation estimation
BibRef
Askarin, M.M.[Mohammad Mogharen],
Wong, K.[Kok_Sheik],
Phan, R.C.W.[Raphael C.W.],
Planting attack on latent fingerprints,
IET-Bio(7), No. 5, September 2018, pp. 396-404.
DOI Link
1809
BibRef
Li, J.[Jian],
Feng, J.J.[Jian-Jiang],
Kuo, C.C.J.[C.C. Jay],
Deep convolutional neural network for latent fingerprint enhancement,
SP:IC(60), No. 1, 2018, pp. 52-63.
Elsevier DOI
1712
Latent fingerprint enhancement
BibRef
Stojanovic, B.[Branka],
Marques, O.[Oge],
Neškovic, A.[Aleksandar],
Deep learning-based approach to latent overlapped fingerprints mask
segmentation,
IET-IPR(12), No. 11, November 2018, pp. 1934-1942.
DOI Link
1810
BibRef
Cao, K.[Kai],
Jain, A.K.[Anil K.],
Automated Latent Fingerprint Recognition,
PAMI(41), No. 4, April 2019, pp. 788-800.
IEEE DOI
1903
Feature extraction, NIST, Databases, Forensics,
Fingerprint recognition, Friction, Estimation, Latent fingerprints,
texture template
BibRef
Arora, S.S.[Sunpreet S.],
Cao, K.[Kai],
Jain, A.K.[Anil K.],
Paulter, N.G.[Nicholas G.],
3D Fingerprint Phantoms,
ICPR14(684-689)
IEEE DOI
1412
Feature extraction
BibRef
Labati, R.D.[Ruggero Donida],
Genovese, A.[Angelo],
Muñoz, E.[Enrique],
Piuri, V.[Vincenzo],
Scotti, F.[Fabio],
A novel pore extraction method for heterogeneous fingerprint images
using Convolutional Neural Networks,
PRL(113), 2018, pp. 58-66.
Elsevier DOI
1810
Fingerprint, Pores, Level 3, Deep learning, Latent, CNN
BibRef
Kanjana, G.,
Sheeja, M.K.,
Secure storage and matching of latent fingerprints using phase
shifting digital holography,
PRL(153), 2022, pp. 113-117.
Elsevier DOI
2201
Holography, Digital holography,
Phase shifting digital holography, Data storage, Latent fingerprint matching
BibRef
McGuigan, M.[Matthew],
Christmas, J.[Jacqueline],
Contactless automated lifting of latent fingerprints from difficult
curved surfaces,
SP:IC(109), 2022, pp. 116858.
Elsevier DOI
2210
Latent fingerprint, Forensics, Machine learning
BibRef
Muhammed, A.[Ajnas],
Pais, A.R.[Alwyn Roshan],
Secure latent fingerprint storage and self-recovered reconstruction
using POB number system,
PRL(167), 2023, pp. 107-114.
Elsevier DOI
2303
Latent fingerprint, Secure storage, Visual secret sharing,
POB Number system, Shares, Image reconstruction
BibRef
Zhu, Y.M.[Yan-Ming],
Yin, X.F.[Xue-Fei],
Hu, J.K.[Jian-Kun],
FingerGAN: A Constrained Fingerprint Generation Scheme for Latent
Fingerprint Enhancement,
PAMI(45), No. 7, July 2023, pp. 8358-8371.
IEEE DOI
2306
Generative adversarial networks, Skeleton, TV, Feature extraction,
Deep learning, Decoding, Training,
latent fingerprint enhancement
BibRef
Öztürk, H.I.[Halil Ibrahim],
Selbes, B.[Berkay],
Artan, Y.[Yusuf],
MinNet: Minutia Patch Embedding Network for Automated Latent
Fingerprint Recognition,
Biometrics22(1626-1634)
IEEE DOI
2210
Training, Image recognition, Databases, Emulation,
Training data, Fingerprint recognition
BibRef
Casula, R.[Roberto],
Orrù, G.[Giulia],
Angioni, D.[Daniele],
Feng, X.Y.[Xiao-Yi],
Marcialis, G.L.[Gian Luca],
Roli, F.[Fabio],
Are spoofs from latent fingerprints a real threat for the best
state-of-art liveness detectors?,
ICPR21(3412-3418)
IEEE DOI
2105
Powders, Magnetic resonance imaging, Forensics, Detectors,
Organizations, Fingerprint recognition, Sensor systems
BibRef
Mgaga, S.S.[Sboniso Sifiso],
Tapamo, J.R.[Jules-Raymond],
Khanyile, N.P.[Nontokozo Portia],
Optical Coherence Tomography Latent Fingerprint Image Denoising,
ISVC20(II:694-705).
Springer DOI
2103
BibRef
Huang, X.,
Qian, P.,
Liu, M.,
Latent Fingerprint Image Enhancement Based on Progressive Generative
Adversarial Network,
Biometrics20(3481-3489)
IEEE DOI
2008
Generative adversarial networks, Generators,
Training, NIST, Testing, Feature extraction
BibRef
Ramírez-Sáyago, E.[Ernesto],
Loyola-González, O.[Octavio],
Medina-Pérez, M.A.[Miguel Angel],
Towards Inpainting and Denoising Latent Fingerprints:
A Study on the Impact in Latent Fingerprint Identification,
MCPR20(76-86).
Springer DOI
2007
BibRef
Joshi, I.,
Anand, A.,
Vatsa, M.,
Singh, R.,
Roy, S.D.,
Kalra, P.,
Latent Fingerprint Enhancement Using Generative Adversarial Networks,
WACV19(895-903)
IEEE DOI
1904
feature extraction, fingerprint identification,
image enhancement, image matching,
Image reconstruction
BibRef
Marasco, E.,
Cando, S.,
Tang, L.,
Can Liveness Be Automatically Detected from Latent Fingerprints?,
IVF19(93-99)
IEEE DOI
1902
Fingerprint recognition, Databases, Epidermis,
Feature extraction, Sensors, Friction
BibRef
Xu, M.,
Feng, J.,
Lu, J.,
Zhou, J.,
Latent fingerprint enhancement using Gabor and minutia dictionaries,
ICIP17(3540-3544)
IEEE DOI
1803
Computational modeling, Databases, Dictionaries,
Feature extraction, Fingerprint recognition, Image restoration,
sparse representation
BibRef
Guan, H.,
Lee, P.,
Dienstfrey, A.,
Theofanos, M.,
Lamp, C.,
Stanton, B.,
Schwarz, M.T.,
Analysis, Comparison, and Assessment of Latent Fingerprint Image
Preprocessing,
Biometrics17(628-635)
IEEE DOI
1709
Databases, Fingerprint recognition, Forensics, Gray-scale,
Image color analysis, Image matching, Metadata
BibRef
Ezeobiejesi, J.,
Bhanu, B.,
Latent Fingerprint Image Quality Assessment Using Deep Learning,
Biometrics18(621-6218)
IEEE DOI
1812
BibRef
And:
Patch Based Latent Fingerprint Matching Using Deep Learning,
ICIP18(2017-2021)
IEEE DOI
1809
BibRef
Earlier:
Latent Fingerprint Image Segmentation Using Fractal Dimension
Features and Weighted Extreme Learning Machine Ensemble,
Biometrics16(214-222)
IEEE DOI
1612
Quality assessment, Image segmentation, Feature extraction,
Manuals, Databases, Neural networks.
Databases, NIST, Neural networks, Training, Fingerprint recognition,
Machine learning, Fingerprint, Minutiae, Latent, Similarity
BibRef
Bigun, J.[Josef],
Mikaelyan, A.[Anna],
Frequency Map by Structure Tensor in Logarithmic Scale Space and
Forensic Fingerprints,
Biometrics16(204-213)
IEEE DOI
1612
BibRef
Earlier: A2, A1:
Ground truth and evaluation for latent fingerprint matching,
Biometrics12(83-88).
IEEE DOI
1207
BibRef
Merkel, R.[Ronny],
Dittmann, J.[Jana],
Vielhauer, C.,
Resource-efficient latent fingerprint age estimation for Adhoc crime
scene forensics: Quality assessment of flat bed scans and statistical
features,
IPTA16(1-6)
IEEE DOI
1703
fingerprint identification
BibRef
Merkel, R.[Ronny],
Dittmann, J.[Jana],
Hildebrandt, M.[Mario],
Latent fingerprint persistence:
A new temporal feature space for forensic trace evidence analysis,
ICIP14(4952-4956)
IEEE DOI
1502
Aging
BibRef
Krish, R.P.[Ram P.],
Fierrez, J.[Julian],
Ramos, D.[Daniel],
Ortega-Garcia, J.[Javier],
Bigun, J.[Josef],
Pre-registration for Improved Latent Fingerprint Identification,
ICPR14(696-701)
IEEE DOI
1412
Accuracy
BibRef
Hernández-Palancar, J.[José],
Muñoz-Briseño, A.[Alfredo],
A New Fingerprint Indexing Algorithm for Latent and Non-latent
Impressions Identification,
CIARP15(127-134).
Springer DOI
1511
BibRef
Muñoz-Briseño, A.[Alfredo],
Gago-Alonso, A.[Andrés],
Hernández-Palancar, J.[José],
Fingerprint Matching Using a Geometric Subgraph Mining Approach,
CIARP15(160-167).
Springer DOI
1511
BibRef
Earlier:
Using Reference Point as Feature for Fingerprint Indexing,
CIARP14(367-374).
Springer DOI
1411
See also New Triangular Matching Approach for Latent Palmprint Identification, A.
BibRef
Krish, R.P.[Ram P.],
Fierrez, J.[Julian],
Ramos, D.[Daniel],
Veldhuis, R.N.J.[Raymond N.J.],
Wang, R.F.[Rui-Fang],
Evaluation of AFIS-Ranked Latent Fingerprint Matched Templates,
PSIVT13(230-241).
Springer DOI
1402
BibRef
Guan, H.Y.[Hai-Ying],
Dienstfrey, A.M.[Andrew M.],
Theofanos, M.F.[Mary Frances],
A New Metric for Latent Fingerprint Image Preprocessing,
Biometrics13(84-91)
IEEE DOI
1309
Fingerprint image quality metric
BibRef
Zhang, J.Y.[Jiang-Yang],
Lai, R.J.[Rong-Jie],
Kuo, C.C.J.[C.C. Jay],
Latent fingerprint detection and segmentation with a directional total
variation model,
ICIP12(1145-1148).
IEEE DOI
1302
BibRef
Karimi-Ashtiani, S.[Shahryar],
Kuo, C.C.J.[C.C. Jay],
A robust technique for latent fingerprint image segmentation and
enhancement,
ICIP08(1492-1495).
IEEE DOI
0810
BibRef
Puertas, M.[Maria],
Ramos, D.[Daniel],
Fierrez, J.[Julian],
Ortega-Garcia, J.[Javier],
Exposito, N.[Nicomedes],
Towards a Better Understanding of the Performance of Latent Fingerprint
Recognition in Realistic Forensic Conditions,
ICPR10(1638-1641).
IEEE DOI
1008
BibRef
Su, C.[Chang],
Srihari, S.[Sargur],
Latent Fingerprint Core Point Prediction Based on Gaussian Processes,
ICPR10(1634-1637).
IEEE DOI
1008
BibRef
Chapter on Face Recognition, Human Pose, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Fingerprint Unrolling, Image Enhancement and Compression .