Forensic science: an introduction to scientific and investigative techniques S Bell CRC press, 2019 | 637 | 2019 |
Methods for identification of images acquired with digital cameras ZJ Geradts, J Bijhold, M Kieft, K Kurosawa, K Kuroki, N Saitoh Enabling technologies for law enforcement and security 4232, 505-512, 2001 | 284 | 2001 |
Detection of deepfake video manipulation M Koopman, AM Rodriguez, Z Geradts The 20th Irish machine vision and image processing conference (IMVIP), 133-136, 2018 | 172 | 2018 |
The image-database REBEZO for shoeprints with developments on automatic classification of shoe outsole designs Z Geradts, J Keijzer Forensic Science International 82 (1), 21-31, 1996 | 113 | 1996 |
Using the ENF criterion for determining the time of recording of short digital audio recordings M Huijbregtse, Z Geradts Computational Forensics: Third International Workshop, IWCF 2009, The Hague …, 2009 | 101 | 2009 |
The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system A Kloosterman, A Mapes, Z Geradts, E van Eijk, C Koper, J van den Berg, ... Philosophical Transactions of the Royal Society B: Biological Sciences 370 …, 2015 | 89 | 2015 |
Source video camera identification for multiply compressed videos originating from YouTube W Van Houten, Z Geradts Digital Investigation 6 (1-2), 48-60, 2009 | 78 | 2009 |
Automatic classification and recognition of shoeprints A Alexander, A Bouridane, D Crookes IET Digital Library, 1999 | 75 | 1999 |
Content based information retrieval in forensic image databases Z Geradts, J Bijhold Journal of forensic sciences 47 (2), 285-292, 2002 | 68 | 2002 |
A new model for forensic data extraction from encrypted mobile devices A Fukami, R Stoykova, Z Geradts Forensic Science International: Digital Investigation 38, 301169, 2021 | 63 | 2021 |
Source camera identification for heavily jpeg compressed low resolution still images EJ Alles, ZJMH Geradts, CJ Veenman Journal of forensic sciences 54 (3), 628-638, 2009 | 62 | 2009 |
Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms ZJ Geradts, J Bijhold, R Hermsen, F Murtagh Forensic science international 119 (1), 97-106, 2001 | 53 | 2001 |
The global practice of forensic science DH Ubelaker John Wiley & Sons, 2015 | 50 | 2015 |
Wiley Encyclopedia of Forensic Science, 5 Volume Set A Jamieson, A Moenssens John Wiley & Sons, 2009 | 49 | 2009 |
Improving source camera identification using a simplified total variation based noise removal algorithm F Gisolf, A Malgoezar, T Baar, Z Geradts Digital Investigation 10 (3), 207-214, 2013 | 47 | 2013 |
Source camera identification for low resolution heavily compressed images EJ Alles, ZJMH Geradts, CJ Veenman 2008 International Conference on Computational Sciences and Its Applications …, 2008 | 44 | 2008 |
Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensics A Fydanaki, Z Geradts Forensic sciences research 3 (3), 202-209, 2018 | 41 | 2018 |
Critical review of the use and scientific basis of forensic gait analysis NM Van Mastrigt, K Celie, AL Mieremet, ACC Ruifrok, Z Geradts Forensic sciences research 3 (3), 183-193, 2018 | 39 | 2018 |
A new approach to automatic comparison of striation marks Z Geradts, J Keijzer, I Keereweer Journal of Forensic Sciences 39 (4), 974-980, 1994 | 38 | 1994 |
Using anisotropic diffusion for efficient extraction of sensor noise in camera identification W van Houten, Z Geradts Journal of forensic sciences 57 (2), 521-527, 2012 | 37 | 2012 |