25.3.12.5 Source Camera Identification, Camera Fingerprint

Fridrich, J.[Jessica], Lukáš, J., Goljan, M.[Miroslav],
Digital camera identification from sensor noise,
ISF(1), No. 2, 2006, pp. 205-214.
IEEE DOI BibRef 0600

Goljan, M.[Miroslav], Chen, M.[Mo], Fridrich, J.[Jessica],
Identifying Common Source Digital Camera from Image Pairs,
ICIP07(VI: 125-128).
IEEE DOI 0709
BibRef

Bloy, G.J.[Greg J.],
Blind Camera Fingerprinting and Image Clustering,
PAMI(30), No. 3, March 2008, pp. 532-534.
IEEE DOI 0801
Cluster to get fingerprint to identify camera. From set of known images from a camera. BibRef

Jin, Q.Y.[Qing-Yue], Huang, Y.Z.[Yi-Zhen], Fan, N.[Na],
Learning images using compositional pattern-producing neural networks for source camera identification and digital demographic diagnosis,
PRL(33), No. 4, March 2012, pp. 381-396.
Elsevier DOI 1201
Demosaicking; Inter-pixel correlation; Neural network; Camera identification; Demographics BibRef

Watanabe, J.[Joji], Hosaka, T.[Tadaaki], Hamamoto, T.[Takayuki],
Sensor-Pattern-Noise Map Reconstruction in Source Camera Identification for Size-Reduced Images,
IEICE(E96-D), No. 8, August 2013, pp. 1882-1885.
WWW Link. 1308
BibRef

Huang, D.Y.[Deng-Yuan], Chen, C.H.[Chao-Ho], Chen, T.Y.[Tsong-Yi], Hu, W.C.[Wu-Chih], Chen, B.C.[Bo-Cin],
Rapid detection of camera tampering and abnormal disturbance for video surveillance system,
JVCIR(25), No. 8, 2014, pp. 1865-1877.
Elsevier DOI 1411
Camera tampering BibRef

Kang, X.G.[Xian-Gui], Chen, J.S.[Jian-Sheng], Lin, K.[Kerui], Anjie, P.[Peng],
A context-adaptive SPN predictor for trustworthy source camera identification,
JIVP(2014), No. 1, 2014, pp. 19.
DOI Link 1404
BibRef

Wu, G.D.[Guang-Dong], Kang, X.G.[Xian-Gui], Liu, K.J.R.[K. J. Ray],
A context adaptive predictor of sensor pattern noise for camera source identification,
ICIP12(237-240).
IEEE DOI 1302
BibRef

Amerini, I., Caldelli, R., Crescenzi, P., del Mastio, A., Marino, A.,
Blind image clustering based on the Normalized Cuts criterion for camera identification,
SP:IC(29), No. 8, 2014, pp. 831-843.
Elsevier DOI 1410
Image forensics BibRef

Amerini, I., Becarelli, R., Bertini, B., Caldelli, R.,
Acquisition source identification through a blind image classification,
IET-IPR(9), No. 4, 2015, pp. 329-337.
DOI Link 1505
image classification BibRef

Orozco, A.L.S.[A.L. Sandoval], Villalba, L.J.G.[L.J. Garci´a], Gonza´lez, D.M.A.[D.M. Arenas], Corripio, J.R.[J. Rosales], Hernandez-Castro, J., Gibson, S.J.,
Smartphone image acquisition forensics using sensor fingerprint,
IET-CV(9), No. 5, 2015, pp. 723-731.
DOI Link 1511
feature extraction BibRef

Satta, R., Ciardulli, A.,
Sensor pattern noise and image similarity for picture-to-identity linking,
IET-CV(9), No. 5, 2015, pp. 711-722.
DOI Link 1511
cameras BibRef

Jung, D.J.[Dae-Jin], Hyun, D.K.[Dai-Kyung], Lee, H.K.[Heung-Kyu],
Recaptured video detection based on sensor pattern noise,
JIVP(2015), No. 1, 2015, pp. 40.
DOI Link 1601
BibRef

Mehrish, A., Subramanyam, A.V., Emmanuel, S.,
Sensor Pattern Noise Estimation Using Probabilistically Estimated RAW Values,
SPLetters(23), No. 5, May 2016, pp. 693-697.
IEEE DOI 1604
Digital cameras BibRef

Hajj-Ahmad, A., Berkovich, A., Wu, M.,
Exploiting Power Signatures for Camera Forensics,
SPLetters(23), No. 5, May 2016, pp. 713-717.
IEEE DOI 1604
Cameras BibRef

Qiao, T.[Tong], Retraint, F.[Florent], Cogranne, R.[Rémi], Thai, T.H.[Thanh Hai],
Individual camera device identification from JPEG images,
SP:IC(52), No. 1, 2017, pp. 74-86.
Elsevier DOI 1701
BibRef
Earlier:
Source camera device identification based on raw images,
ICIP15(3812-3816)
IEEE DOI 1511
Digital forensics. Hypothesis testing theory BibRef

Bondi, L., Baroffio, L., Güera, D., Bestagini, P., Delp, E.J., Tubaro, S.,
First Steps Toward Camera Model Identification With Convolutional Neural Networks,
SPLetters(24), No. 3, March 2017, pp. 259-263.
IEEE DOI 1702
Analytical models BibRef

Güera, D., Wang, Y., Bondi, L., Bestagini, P., Tubaro, S., Delp, E.J.,
A Counter-Forensic Method for CNN-Based Camera Model Identification,
MedForen17(1840-1847)
IEEE DOI 1709
Analytical models, Cameras, Detectors, Machine learning, Pipelines, Training, Visualization BibRef

Rao, Q., Wang, J.,
Suppressing Random Artifacts in Reference Sensor Pattern Noise via Decorrelation,
SPLetters(24), No. 6, June 2017, pp. 809-813.
IEEE DOI 1705
Cameras, Covariance matrices, Decorrelation, Digital images, Eigenvalues and eigenfunctions, Principal component analysis, Spectral analysis, Decorrelation, digital forensics, sensor pattern noise (SPN), source, camera, identification, (SCI) BibRef

Fahmy, O.M.,
A new Zernike moments based technique for camera identification and forgery detection,
SIViP(11), No. 5, July 2017, pp. 785-792.
WWW Link. 1706
BibRef
Earlier:
An efficient clustering technique for cameras identification using sensor pattern noise,
WSSIP15(249-252)
IEEE DOI 1603
image classification BibRef

Zeng, H., Liu, J., Yu, J., Kang, X., Shi, Y.Q., Wang, Z.J.,
A Framework of Camera Source Identification Bayesian Game,
Cyber(47), No. 7, July 2017, pp. 1757-1768.
IEEE DOI 1706
Bayes methods, Cameras, Forensics, Games, Nash equilibrium, Noise level, Radiation detectors, Anti-forensics, Bayesian game, camera source identification (CSI), complete information game, counter anti-forensics, forensics, game, theory BibRef

Zhang, L.B.[Le-Bing], Peng, F.[Fei], Long, M.[Min],
Identifying source camera using guided image estimation and block weighted average,
JVCIR(48), No. 1, 2017, pp. 471-479.
Elsevier DOI 1708
BibRef
Earlier:
Source Camera Identification Based on Guided Image Estimation and Block Weighted Average,
IWDW16(106-118).
Springer DOI 1703
Source camera identification BibRef

Zhao, D.[Dong], Xu, H.Y.[Huai-Yu], An, J.Q.[Jia-Qi], Liu, L.[Liang], Ma, H.D.[Hua-Dong],
ISR: indoor shop recognition via user-friendly and efficient fingerprinting on smartphones,
MVA(28), No. 7, October 2017, pp. 781-791.
WWW Link. 1710
BibRef

Li, R.Z.[Rui-Zhe], Li, C.T.[Chang-Tsun], Guan, Y.[Yu],
Inference of a compact representation of sensor fingerprint for source camera identification,
PR(74), No. 1, 2018, pp. 556-567.
Elsevier DOI 1711
BibRef
Earlier:
Incremental update of feature extractor for camera identification,
ICIP15(324-328)
IEEE DOI 1511
Digital forensics BibRef

Venkata, U.S.[Udaya Sameer], Naskar, R.[Ruchira],
Eliminating the effects of illumination condition in feature based camera model identification,
JVCIR(52), 2018, pp. 24-32.
Elsevier DOI 1804
Camera model identification, Classification, Digital forensics, Image features, Illumination dependency, Overfitting, Scene content BibRef

Navarro, L.C.[Luiz C.], Navarro, A.K.W.[Alexandre K.W.], Rocha, A.[Anderson], Dahab, R.[Ricardo],
Connecting the dots: Toward accountable machine-learning printer attribution methods,
JVCIR(53), 2018, pp. 257-272.
Elsevier DOI 1805
Accountable machine learning, Digital forensics, Source printer attribution, Feature back-projection, Feature importance BibRef

Marra, F., Gragnaniello, D., Verdoliva, L.,
On the vulnerability of deep learning to adversarial attacks for camera model identification,
SP:IC(65), 2018, pp. 240-248.
Elsevier DOI 1805
Camera model identification, Convolutional neural networks, Adversarial attacks BibRef

Mehrish, A.[Ambuj], Subramanyam, A.V., Emmanuel, S.[Sabu],
Robust PRNU estimation from probabilistic raw measurements,
SP:IC(66), 2018, pp. 30-41.
Elsevier DOI 1806
Multimedia forensics, Source camera identification, PhoTo Response Non Uniformity (PRNU), MLE, Tamper localization BibRef

Sameer, V.U.[Venkata Udaya], Sugumaran, S., Naskar, R.[Ruchira],
K-unknown models detection through clustering in blind source camera identification,
IET-IPR(12), No. 7, July 2018, pp. 1204-1213.
DOI Link 1806
BibRef

Stamm, M., Bestagini, P., Marcenaro, L., Campisi, P.,
Forensic Camera Model Identification: Highlights from the IEEE Signal Processing Cup 2018 Student Competition [SP Competitions],
SPMag(35), No. 5, September 2018, pp. 168-174.
IEEE DOI 1809
Cameras, Forensics, Data models, Image color analysis, Signal processing algorithms, Image processing BibRef

Gupta, B., Tiwari, M.,
Improving Performance of Source-Camera Identification By Suppressing Peaks and Eliminating Low-Frequency Defects of Reference SPN,
SPLetters(25), No. 9, September 2018, pp. 1340-1343.
IEEE DOI 1809
cameras, discrete cosine transforms, image sensors, light refraction, optical sensors, spectrum-equalization algorithm (SEA) BibRef

Thai, T.H.[Thanh Hai], Cogranne, R., Retraint, F.,
Camera Model Identification Based on the Heteroscedastic Noise Model,
IP(23), No. 1, January 2014, pp. 250-263.
IEEE DOI 1402
cameras BibRef

de O. Costa, F.[Filipe], Silva, E.[Ewerton], Eckmann, M.[Michael], Scheirer, W.J.[Walter J.], Rocha, A.[Anderson],
Open set source camera attribution and device linking,
PRL(39), No. 1, 2014, pp. 92-101.
Elsevier DOI 1402
Open set recognition BibRef

Moreira, D.[Daniel], Bharati, A.[Aparna], Brogan, J.[Joel], Pinto, A.[Allan], Parowski, M.[Michael], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.], Rocha, A.[Anderson], Scheirer, W.J.[Walter J.],
Image Provenance Analysis at Scale,
IP(27), No. 12, December 2018, pp. 6109-6123.
IEEE DOI 1810
feature extraction, graph theory, image filtering, image retrieval, social networking (online), image provenance analysis, image phylogeny BibRef

Bharati, A.[Aparna], Moreira, D.[Daniel], Brogan, J.[Joel], Hale, P.[Patricia], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.], Rocha, A.[Anderson], Scheirer, W.J.[Walter J.],
Beyond Pixels: Image Provenance Analysis Leveraging Metadata,
WACV19(1692-1702)
IEEE DOI 1904
graph theory, image forensics, inference mechanisms, Internet, meta data, multimedia computing, video signal processing, Semantics BibRef

Marra, F.[Francesco], Poggi, G.[Giovanni], Sansone, C.[Carlo], Verdoliva, L.[Luisa],
A deep learning approach for iris sensor model identification,
PRL(113), 2018, pp. 46-53.
Elsevier DOI 1810
Iris sensor identification, Forensics, Iris sensor interoperability, Convolutional Neural Networks BibRef

Tsai, M.J.[Min-Jen], Tao, Y.H.[Yu-Han], Yuadi, I.[Imam],
Deep learning for printed document source identification,
SP:IC(70), 2019, pp. 184-198.
Elsevier DOI 1812
Printer source identification, Machine learning, Deep learning, Convolutional neural networks BibRef

Li, J.[Jian], Ma, B.[Bin], Wang, C.P.[Chun-Peng],
Extraction of PRNU noise from partly decoded video,
JVCIR(57), 2018, pp. 183-191.
Elsevier DOI 1812
Forensics, Smartphone, Camera, Sensor noise, PRNU BibRef

Yang, P.P.[Peng-Peng], Ni, R.R.[Rong-Rong], Zhao, Y.[Yao], Zhao, W.[Wei],
Source camera identification based on content-adaptive fusion residual networks,
PRL(119), 2019, pp. 195-204.
Elsevier DOI 1902
Source camera identification, Content-adaptive fusion residual networks, Transform learning BibRef

Freire-Obregón, D.[David], Narducci, F.[Fabio], Barra, S.[Silvio], Castrillón-Santana, M.[Modesto],
Deep learning for source camera identification on mobile devices,
PRL(126), 2019, pp. 86-91.
Elsevier DOI 1909
Source camera identification, Convolutional neural networks, Mobile devices, Deep learning BibRef

Joshi, S.[Sharad], Saxena, S.[Suraj], Khanna, N.[Nitin],
First steps toward CNN based source classification of document images shared over messaging app,
SP:IC(78), 2019, pp. 32-41.
Elsevier DOI 1909
Camera identification, Image forensics, Convolutional neural networks (CNN), Document forensics, WhatsApp BibRef

Chowdhury, D.P.[Debbrota Paul], Bakshi, S.[Sambit], Sa, P.K.[Pankaj Kumar], Majhi, B.[Banshidhar],
Wavelet energy feature based source camera identification for ear biometric images,
PRL(130), 2020, pp. 139-147.
Elsevier DOI 2002
Ear biometric, Digital forensic, Source camera identification BibRef

Mandelli, S., Cozzolino, D., Bestagini, P., Verdoliva, L., Tubaro, S.,
CNN-Based Fast Source Device Identification,
SPLetters(27), 2020, pp. 1285-1289.
IEEE DOI 2008
BibRef

Taspinar, S.[Samet], Mohanty, M.[Manoranjan], Memon, N.[Nasir],
Camera identification of multi-format devices,
PRL(140), 2020, pp. 288-294.
Elsevier DOI 2012
PRNU, Camera attribution, Media forensics BibRef

Khan, S.[Sahib], Bianchi, T.[Tiziano],
Fast image clustering based on compressed camera fingerprints,
SP:IC(91), 2021, pp. 116070.
Elsevier DOI 2012
Image clustering, Photo response non-uniformity, Computational complexity, Source camera identification BibRef

Lorch, B.[Benedikt], Schirrmacher, F.[Franziska], Maier, A.[Anatol], Riess, C.[Christian],
Reliable Camera Model Identification Using Sparse Gaussian Processes,
SPLetters(28), 2021, pp. 912-916.
IEEE DOI 2106
Cameras, Training, Support vector machines, Kernel, Data models, Uncertainty, Gaussian processes, Camera model identification, open-set classification BibRef

Borole, M.[Megha], Kolhe, S.R.[Satish R.],
A feature-based approach for digital camera identification using photo-response non-uniformity noise,
IJCVR(11), No. 4, 2021, pp. 374-384.
DOI Link 2108
BibRef

Jiang, X.[Xiang], Wei, S.[Shikui], Liu, T.[Ting], Zhao, R.Z.[Rui-Zhen], Zhao, Y.[Yao], Huang, H.[Heng],
Blind Image Clustering for Camera Source Identification via Row-Sparsity Optimization,
MultMed(23), 2021, pp. 2602-2613.
IEEE DOI 2109
Cameras, Clustering algorithms, Optimization, Correlation, Noise measurement, Reliability, Clustering methods, Image forensic, row-sparsity BibRef

Mareen, H.[Hannes], Courteaux, M.[Martijn], de Praeter, J.[Johan], Asikuzzaman, M., van Wallendael, G.[Glenn], Pickering, M.R.[Mark R.], Lambert, P.[Peter],
Camcording-Resistant Forensic Watermarking Fallback System Using Secondary Watermark Signal,
CirSysVideo(31), No. 9, September 2021, pp. 3403-3416.
IEEE DOI 2109
Watermarking, Encoding, Robustness, Distortion, Video compression, Synchronization, Video recording, Watermarking, robustness, fallback BibRef

Bruno, A.[Andrea], Cattaneo, G.[Giuseppe], Ferraro-Petrillo, U.[Umberto], Capasso, P.[Paola],
PNU Spoofing: a menace for biometrics authentication systems?,
PRL(151), 2021, pp. 3-10.
Elsevier DOI 2110
Pixel non uniformity, Source camera identification, Authentication systems, Biometrics BibRef

Liao, X.[Xin], Chen, J.[Jing], Chen, J.X.[Jia-Xin],
Image Source Identification with Known Post-Processed Based on Convolutional Neural Network,
SP:IC(99), 2021, pp. 116438.
Elsevier DOI 2111
Image source identification, PRNU, Tampered image, Operation chain, Convolutional neural network BibRef

Wang, B.[Bo], Zhao, M.[Mengnan], Wang, W.[Wei], Dai, X.R.[Xiao-Rui], Li, Y.[Yi], Guo, Y.Q.[Yan-Qing],
Adversarial Analysis for Source Camera Identification,
CirSysVideo(31), No. 11, November 2021, pp. 4174-4186.
IEEE DOI 2112
Cameras, Feature extraction, Forensics, Task analysis, Perturbation methods, Neural networks, Training, relation mismatch BibRef

Qiao, T.[Tong], Zhao, Q.[Qianru], Zheng, N.[Ning], Xu, M.[Ming], Zhang, L.[Li],
Geographical position spoofing detection based on camera sensor fingerprint,
JVCIR(81), 2021, pp. 103320.
Elsevier DOI 2112
Geographical position spoofing detection, Source identification, Camera sensor fingerprint BibRef

Li, M.[Min], Lee, Z.[Zehao], Zhang, Z.[Zhuo],
Adaptively weighted learning method for magnetic resonance fingerprinting,
IET-IPR(16), No. 10, 2022, pp. 2791-2802.
DOI Link 2207
BibRef

Liu, X.Y.[Xiao-Yu], Wang, T.[Tong], Chen, J.M.[Jin-Ming],
Identifiability Analysis for Configuration Calibration in Distributed Sensor Networks,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Fernández-Menduiña, S.[Samuel], Pérez-González, F.[Fernando], Masciopinto, M.[Miguel],
Source camera attribution via PRNU emphasis: Towards a generalized multiplicative model,
SP:IC(114), 2023, pp. 116944.
Elsevier DOI 2305
PRNU, Camera response function, Sensor fingerprint, Sensor pattern noise, Source camera attribution, Image forensics BibRef

Shim, B.S.[Bo Seok], Choe, J.H.[Jae Hong], Hou, J.U.[Jong-Uk],
Source Identification of 3D Printer Based on Layered Texture Encoders,
MultMed(25), 2023, pp. 8240-8252.
IEEE DOI 2312
Apply to 3-D Printer. BibRef

Liang, X.[Xiaohu], Pan, S.[Shuguo], Yu, B.G.[Bao-Guo], Li, S.[Shuang], Du, S.T.[Shi-Tong],
A Pseudo-Satellite Fingerprint Localization Method Based on Discriminative Deep Belief Networks,
RS(16), No. 8, 2024, pp. 1430.
DOI Link 2405
BibRef

Veksler, M.[Maryna], Aygun, R.S.[Ramazan S.], Akkaya, K.[Kemal], Iyengar, S.S.[Sitharama S.],
A Convolutional Neural Network Ensemble for Video Source Camera Forensics,
MultMedMag(31), No. 2, April 2024, pp. 26-35.
IEEE DOI 2408
Convolutional neural networks, Cameras, Data mining, Feature extraction, Streaming media, Metadata, Internet of Things BibRef

Bhat, N.N.[Nabeel Nisar], Bianchi, T.[Tiziano],
Investigating Inconsistencies in PRNU-Based Camera Identification,
ICIP22(851-855)
IEEE DOI 2211
Training, Photography, Computational modeling, Fingerprint recognition, Cameras, Robustness, Behavioral sciences, non-unique artifacts BibRef

Han, R.Z.[Rui-Ze], Gan, Y.Y.[Yi-Yang], Li, J.C.[Jia-Cheng], Wang, F.F.[Fei-Fan], Feng, W.[Wei], Wang, S.[Song],
Connecting the Complementary-view Videos: Joint Camera Identification and Subject Association,
CVPR22(2406-2415)
IEEE DOI 2210
Performance evaluation, Machine vision, Video sequences, Layout, Collaboration, Visual systems, Cameras, retrieval BibRef

Cannas, E.D., Baireddy, S., Bartusiak, E.R., Yarlagadda, S.K., Mas Montserrat, D., Bestagini, P., Tubaro, S., Delp, E.J.,
Open-Set Source Attribution for Panchromatic Satellite Imagery,
ICIP21(3038-3042)
IEEE DOI 2201
Training, Space vehicles, Satellites, Monte Carlo methods, Planets, Image processing, Forensics, Image forensics, overhead images, deep learning BibRef

Cozzolino, D.[Davide], Thies, J.[Justus], Rössler, A.[Andreas], Nießner, M.[Matthias], Verdoliva, L.[Luisa],
SpoC: Spoofing Camera Fingerprints,
WMF21(990-1000)
IEEE DOI 2109
Knowledge engineering, Image coding, Forensics, Detectors, Trademarks, Cameras, Generative adversarial networks BibRef

Salazar, D.A.[Diego Azael], Ramirez-Rodriguez, A.E.[Ana Elena], Nakano, M.[Mariko], Cedillo-Hernandez, M.[Manuel], Perez-Meana, H.[Hector],
Evaluation of Denoising Algorithms for Source Camera Linking,
MCPR21(282-291).
Springer DOI 2108
BibRef

Banerjee, S.[Sudipta], Ross, A.[Arun],
One-shot Representational Learning for Joint Biometric and Device Authentication,
ICPR21(5988-5995)
IEEE DOI 2105
identify the individual, and identify the device. Image sensors, Performance evaluation, Privacy, Image recognition, Face recognition, Sensors, Object recognition BibRef

Jöchl, R.[Robert], Uhl, A.[Andreas],
A Machine Learning Approach to Approximate the Age of a Digital Image,
IWDW20(181-195).
Springer DOI 2103
Based on accumulated defects. BibRef

Baracchi, D.[Daniele], Iuliani, M.[Massimo], Nencini, A.G.[Andrea G.], Piva, A.[Alessandro],
Facing Image Source Attribution on iPhone X,
IWDW20(196-207).
Springer DOI 2103
BibRef

Hadwiger, B.[Benjamin], Riess, C.[Christian],
The Forchheim Image Database for Camera Identification in the Wild,
MMForWild20(500-515).
Springer DOI 2103
BibRef

Mandelli, S., Argenti, F., Bestagini, P., Iuliani, M., Piva, A., Tubaro, S.,
A Modified Fourier-Mellin Approach For Source Device Identification On Stabilized Videos,
ICIP20(1266-1270)
IEEE DOI 2011
Videos, Correlation, Transforms, Cameras, Estimation, Pipelines, Forensics, Video forensics, sensor noise, Fourier-Mellin, PRNU, video stabilization BibRef

Shao, R., Delp, E.J.,
Forensic Scanner Identification Using Machine Learning,
SSIAI20(1-4)
IEEE DOI 2009
feature extraction, image forensics, image scanners, learning (artificial intelligence), forensic image analysis, convolutional neural network BibRef

Chen, C., Xiong, Z., Liu, X., Wu, F.,
Camera Trace Erasing,
CVPR20(2947-2956)
IEEE DOI 2008
Cameras, Forensics, Task analysis, Image coding, Training, Measurement, Transform coding BibRef

Bruni, V.[Vittoria], Salvi, A.[Alessandra], Vitulano, D.[Domenico],
Joint Correlation Measurements for PRNU-Based Source Identification,
CAIP19(II:245-256).
Springer DOI 1909
Camera fingerprint. BibRef

Wang, B.[Bo], Yin, J.F.[Jian-Feng], Tan, S.Q.[Shun-Quan], Li, Y.[Yabin], Li, M.[Ming],
Source camera model identification based on convolutional neural networks with local binary patterns coding,
SP:IC(68), 2018, pp. 162-168.
Elsevier DOI 1810
Camera model identification, Image forensics, Convolutional neural networks (CNNs), Local binary patterns (LBP) BibRef

Ben Rabah, C.[Chaima], Coatrieux, G.[Gouenou], Abdelfattah, R.[Riadh],
Scanner Model Identification of Official Documents Using Noise Parameters Estimation in the Wavelet Domain,
ACIVS18(598-608).
Springer DOI 1810
BibRef

Yaqub, W., Mohanty, M., Memon, N.,
Towards Camera Identification from Cropped Query Images,
ICIP18(3798-3802)
IEEE DOI 1809
Cameras, Correlation, Databases, Image resolution, Interpolation, Kernel, Radio frequency, PRNU, Source Camera Identification, Camera Fingerprint BibRef

Chen, C., Zhao, X., Stamm, M.C.,
Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network,
ICIP18(535-539)
IEEE DOI 1809
Cameras, Forensics, Generators, Generative adversarial networks, Computational modeling, Convolutional neural networks BibRef

Mantini, P., Shah, S.K.,
A signal detection theory approach for camera tamper detection,
AVSS17(1-6)
IEEE DOI 1806
Slightly differet: detecting tampering, not simply the camera id. Gaussian processes, Kalman filters, cameras, signal detection, surveillance, video cameras, video surveillance, Training BibRef

Guera, D.[David], Zhu, F.Q.[Feng-Qing], Yarlagadda, S.K.[Sri Kalyan], Tubaro, S.[Stefano], Bestagini, P.[Paolo], Delp, E.J.[Edward J.],
Reliability Map Estimation for CNN-Based Camera Model Attribution,
WACV18(964-973)
IEEE DOI 1806
cameras, cellular neural nets, feature extraction, feedforward neural nets, image forensics, Training BibRef

Aminova, E., Trapeznikov, I., Priorov, A.,
Overview of Digital Forensics Algorithms in DSLR Cameras,
PTVSBB17(199-205).
DOI Link 1805
BibRef

Chen, Y., Huang, Y., Ding, X.,
Camera model identification with residual neural network,
ICIP17(4337-4341)
IEEE DOI 1803
Cameras, Cellular phones, Feature extraction, Kernel, Machine learning, Task analysis, Training, ResNet, image forensics BibRef

Mandelli, S., Bondi, L., Lameri, S., Lipari, V., Bestagini, P., Tubaro, S.,
Inpainting-Based camera anonymization,
ICIP17(1522-1526)
IEEE DOI 1803
Cameras, Detectors, Image edge detection, Image reconstruction, Pipelines, Task analysis, Visualization, PRNU removal, inverse problem regularization BibRef

Taspinar, S., Sencar, H.T., Bayram, S., Memon, N.,
Fast camera fingerprint matching in very large databases,
ICIP17(4088-4092)
IEEE DOI 1803
Cameras, Complexity theory, Fingerprint recognition, Indexes, Search problems, PRNU noise, Sensor noise, camera fingerprint, fingerprint digests BibRef

Escher, S., Strafe, T.,
Robustness analysis of a passive printer identification scheme for halftone images,
ICIP17(4357-4361)
IEEE DOI 1803
Image color analysis, Laser stability, Printers, Printing, Robustness, Stability analysis, Digital forensics, Laser printer, Printer identification BibRef

Bayar, B., Stamm, M.C.,
Augmented convolutional feature maps for robust CNN-based camera model identification,
ICIP17(4098-4102)
IEEE DOI 1803
Adaptation models, Cameras, Feature extraction, Forensics, Robustness, Training, Transform coding, Camera identification, deep convolutional features BibRef

Giudice, O.[Oliver], Paratore, A.[Antonino], Moltisanti, M.[Marco], Battiato, S.[Sebastiano],
A Classification Engine for Image Ballistics of Social Data,
CIAP17(II:625-636).
Springer DOI 1711
I.e. which social network platform processed the image. (akin to which camera) BibRef

Roy, A., Chakraborty, R.S., Sameer, U., Naskar, R.,
Camera Source Identification Using Discrete Cosine Transform Residue Features and Ensemble Classifier,
MedForen17(1848-1854)
IEEE DOI 1709
Cameras, Discrete cosine transforms, Feature extraction, Histograms, Image coding, Principal component analysis, Transform coding BibRef

Sameer, V.U.[Venkata Udaya], Naskar, R.[Ruchira], Musthyala, N.[Nikhita], Kokkalla, K.[Kalyan],
Deep Learning Based Counter-Forensic Image Classification for Camera Model Identification,
IWDW17(52-64).
Springer DOI 1708
BibRef

Samaras, S., Mygdalis, V., Pitas, I.,
Robustness in blind camera identification,
ICPR16(3874-3879)
IEEE DOI 1705
Cameras, Cellular phones, Charge coupled devices, Correlation, Image color analysis, Robustness BibRef

Iorliam, A.[Aamo], Ho, A.T.S.[Anthony T. S.], Waller, A.[Adrian], Zhao, X.[Xi],
Using Benford's Law Divergence and Neural Networks for Classification and Source Identification of Biometric Images,
IWDW16(88-105).
Springer DOI 1703
BibRef

Taspinar, S.[Samet], Mohanty, M.[Manoranjan], Memon, N.[Nasir],
PRNU based source attribution with a collection of seam-carved images,
ICIP16(156-160)
IEEE DOI 1610
Photo Response Non-Uniformity. Source Camera verification. BibRef

Pérez-González, F., Masciopinto, M., González-Iglesias, I., Comesaña, P.,
Fast sequential forensic detection of camera fingerprint,
ICIP16(3902-3906)
IEEE DOI 1610
Cameras BibRef

Mahdian, B.[Babak], Novozámský, A.[Adam], Saic, S.[Stanislav],
Determination of Stop-Criterion for Incremental Methods Constructing Camera Sensor Fingerprint,
IWDW14(47-59).
Springer DOI 1602
BibRef

Zeng, H.[Hui], Chen, J.S.[Jian-Sheng], Kang, X.G.[Xian-Gui], Zeng, W.J.[Wen-Jun],
Removing camera fingerprint to disguise photograph source,
ICIP15(1687-1691)
IEEE DOI 1511
Camera source identification BibRef

Zeng, H.[Hui], Kang, X.G.[Xian-Gui], Huang, J.W.[Ji-Wu],
Mixed-strategy Nash equilibrium in the camera source identification game,
ICIP13(4472-4476)
IEEE DOI 1402
Sensor pattern noise BibRef

Zeng, H.[Hui], Kang, X.G.[Xian-Gui],
Camera Source Identification Game with Incomplete Information,
IWDW13(192-204).
Springer DOI 1407
BibRef

Furukawa, T.[Takeshi],
Subspace method with multi scale wavelet for recognition of printer property,
ICDAR15(471-475)
IEEE DOI 1511
BibRef

Marra, F.[Francesco], Poggi, G.[Giovanni], Sansone, C.[Carlo], Verdoliva, L.[Luisa],
Evaluation of Residual-Based Local Features for Camera Model Identification,
BioFor15(11-18).
Springer DOI 1511
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Duan, Y.P.[Yu-Ping], Coatrieux, G.[Gouenou], Shu, H.Z.[Hua-Zhong],
Identification of digital radiography image source based on digital radiography pattern noise recognition,
ICIP14(5372-5376)
IEEE DOI 1502
Biomedical imaging BibRef

Al-Ani, M., Khelifi, F.[Fouad], Lawgaly, A.[Ashref], Bouridane, A.[Ahmed],
A novel image filtering approach for sensor fingerprint estimation in source camera identification,
AVSS15(1-5)
IEEE DOI 1511
BibRef
Earlier: A3, A2, A4, Only:
Weighted averaging-based sensor pattern noise estimation for source camera identification,
ICIP14(5357-5361)
IEEE DOI 1502
cameras. Accuracy BibRef

Marra, F., Roli, F., Cozzolino, D., Sansone, C., Verdoliva, L.,
Attacking the triangle test in sensor-based camera identification,
ICIP14(5307-5311)
IEEE DOI 1502
Cameras BibRef

Kanojia, G.[Gagan], Malireddi, S.R.[Sri Raghu], Gullapally, S.C.[Sai Chowdary], Raman, S.[Shanmuganathan],
Who Shot the Picture and When?,
ISVC14(II: 438-447).
Springer DOI 1501
BibRef

Soobhany, A.R.[Ahmad Ryad], Lam, K.P., Fletcher, P.[Peter], Collins, D.[David],
Source identification of camera phones using SVD,
ICIP13(4497-4501)
IEEE DOI 1402
Digital Image Forensics BibRef

Biney, A.G.[Akua G.], Sellahewa, H.[Harin],
Analysis of smartphone model identification using digital images,
ICIP13(4487-4491)
IEEE DOI 1402
Forensics BibRef

Tsai, M.J.[Min-Jen], Liu, J.[Jung], Yin, J.S.[Jin-Sheng], Yuadi, I.[Imam],
Digital Forensics of Printed Source Identification for Chinese Characters,
IWDW13(337-361).
Springer DOI 1407
BibRef

Deng, Z.H.[Zhong-Hai], Gijsenij, A.[Arjan], Zhang, J.Y.[Jing-Yuan],
Source camera identification using Auto-White Balance approximation,
ICCV11(57-64).
IEEE DOI 1201
BibRef

Chuang, W.H.[Wei-Hong], Su, H.[Hui], Wu, M.[Min],
Exploring compression effects for improved source camera identification using strongly compressed video,
ICIP11(1953-1956).
IEEE DOI 1201
BibRef

Li, C.T.[Chang-Tsun],
Surveillance camera identification using noise patterns,
MMSysS11(400).
IEEE DOI 1111
BibRef
Earlier:
Source camera identification using enahnced sensor pattern noise,
ICIP09(1509-1512).
IEEE DOI 0911
BibRef

Tsai, M.J.[Min-Jen], Wang, C.S.[Cheng-Sheng], Liu, J.[Jung],
A hybrid model for digital camera source identification,
ICIP09(2901-2904).
IEEE DOI 0911
BibRef

Mao, J.W.[Jun-Wen], Bulan, O.[Orhan], Sharma, G.[Gaurav], Datta, S.[Suprakash],
Device temporal forensics: An information theoretic approach,
ICIP09(1501-1504).
IEEE DOI 0911
BibRef

Choi, J.H.[Jung-Ho], Im, D.H.[Dong-Hyuck], Lee, H.Y.[Hae-Yeoun], Oh, J.T.[Jun-Taek], Ryu, J.H.[Jin-Ho], Lee, H.K.[Heung-Kyu],
Color laser printer identification by analyzing statistical features on discrete wavelet transform,
ICIP09(1505-1508).
IEEE DOI 0911
BibRef

Choi, C.H.[Chang-Hee], Lee, M.J.[Min-Jeong], Lee, H.K.[Heung-Kyu],
Scanner identification using spectral noise in the frequency domain,
ICIP10(2121-2124).
IEEE DOI 1009
BibRef

van Houten, W.[Wiger], Geradts, Z.[Zeno], Franke, K.[Katrin], Veenman, C.J.[Cor J.],
Verification of Video Source Camera Competition (CAMCOM 2010),
ICPR-Contests10(22-28).
Springer DOI 1008
BibRef

Zhang, C.[Chi], Zhang, H.B.[Hong-Bin],
Identifying color image origin using curvelet transform,
ICIP10(2125-2128).
IEEE DOI 1009
BibRef

Liu, B.B.[Bei-Bei], Hu, Y.J.[Yong-Jian], Lee, H.K.[Heung-Kyu],
Source camera identification from significant noise residual regions,
ICIP10(1749-1752).
IEEE DOI 1009
BibRef

Goljan, M.[Miroslav],
Digital Camera Identification from Images: Estimating False Acceptance Probability,
DW08(454-468).
Springer DOI 0811
BibRef

McCloskey, S.[Scott],
Confidence weighting for sensor fingerprinting,
Tensor08(1-6).
IEEE DOI 0806
BibRef

Chen, S.H.[Sz-Han], Hsu, C.T.[Chiou-Ting],
Source Camera Identification Based on Camera Gain Histogram,
ICIP07(IV: 429-432).
IEEE DOI 0709
BibRef

Dehnie, S., Sencar, T., Memon, N.,
Digital Image Forensics for Identifying Computer Generated and Digital Camera Images,
ICIP06(2313-2316).
IEEE DOI 0610
BibRef

Lukas, J., Fridrich, J., Goljan, M.,
Digital Bullet Scratches for Images,
ICIP05(III: 65-68).
IEEE DOI 0512
Sensor identification. BibRef

Bayram, S., Sencar, H.T., Memon, N., Avcibas, I.,
Source Camera Identification Based on CFA Interpolation,
ICIP05(III: 69-72).
IEEE DOI 0512
Sensor identification. BibRef

Kharrazi, M., Sencar, H.T., Memon, N.,
Blind source camera identification,
ICIP04(I: 709-712).
IEEE DOI 0505
Identify the camera (model) from the image. BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Reversible Watermarking .