Zeno Geradts
Zeno Geradts
full professor Forensic Data Science University of Amsterdam / NFI
Verified email at uva.nl - Homepage
TitleCited byYear
Forensic science: an introduction to scientific and investigative techniques
SH James, JJ Nordby
CRC press, 2002
4042002
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
2332001
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
901996
Using the ENF criterion for determining the time of recording of short digital audio recordings
M Huijbregtse, Z Geradts
International Workshop on Computational Forensics, 116-124, 2009
772009
Automatic classification and recognition of shoeprints
A Alexander, A Bouridane, D Crookes
IET Digital Library, 1999
681999
Content based information retrieval in forensic image databases
Z Geradts, J Bijhold
Journal of Forensic Science 47 (2), 285-292, 2002
582002
Source video camera identification for multiply compressed videos originating from YouTube
W Van Houten, Z Geradts
Digital Investigation 6 (1-2), 48-60, 2009
542009
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
492009
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
402001
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
352008
Wiley Encyclopedia of Forensic Science, 5 Volume Set
A Jamieson, A Moenssens
John Wiley & Sons, 2009
342009
A new approach to automatic comparison of striation marks
Z Geradts, J Keijzer, I Keereweer
Journal of Forensic Science 39 (4), 974-980, 1994
331994
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
322013
Forensic image analysis
S Bramble, D Compton, L Klasén
13th INTERPOL Forensic Science Symposium 19, 2001
272001
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
262012
Forensic science: Current issues, future directions
DH Ubelaker
John Wiley & Sons, 2012
232012
Forensic audio and visual evidence 2004-2007: A review
J Bijhold, A Ruifrok, M Jessen, Z Geradts, S Ehrhardt, I Alberink
15th INTERPOL forensic science symposium, 2007
232007
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
212015
Pilot investigation of automatic comparison of striation marks with structured light
ZJ Geradts, D Zaal, H Hardy, J Lelieveld, I Keereweer, J Bijhold
Enabling Technologies for Law Enforcement and Security 4232, 49-56, 2001
202001
Using sensor noise to identify low resolution compressed videos from youtube
W Van Houten, Z Geradts
International Workshop on Computational Forensics, 104-115, 2009
182009
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