22.6.3.4 Latnet Fingerprint Recognition, Analysis

Chapter Contents (Back)
Application, Fingerprints. Latent Fingerprints.

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, Computer vision, 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


Wyzykowski, A.B.V.[André Brasil Vieira], Jain, A.K.[Anil K.],
Synthetic Latent Fingerprint Generator,
WACV23(971-980)
IEEE DOI 2302
Training, Image recognition, Databases, Image matching, Fingerprint recognition, NIST, Algorithms: Biometrics, face, gesture, image and video synthesis 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, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Fingerprint Unrolling, Image Enhancement and Compression .


Last update:May 6, 2024 at 15:50:14