Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Florent RETRAINT"'
Autor:
Emmanuel Moupojou, Florent Retraint, Hyppolite Tapamo, Marcellin Nkenlifack, Cheikh Kacfah, Appolinaire Tagne
Publikováno v:
IEEE Access, Vol 12, Pp 102592-102605 (2024)
Researchers have designed various models trained on public or private datasets for plant disease detection to help farmers remedy crop yield losses on their farms due to plant diseases. Plantvillage is the most widely used plant disease dataset with
Externí odkaz:
https://doaj.org/article/c0c51f4024e74f40a016d79632ae85b1
Autor:
Emmanuel Moupojou, Appolinaire Tagne, Florent Retraint, Anicet Tadonkemwa, Dongmo Wilfried, Hyppolite Tapamo, Marcellin Nkenlifack
Publikováno v:
IEEE Access, Vol 11, Pp 35398-35410 (2023)
The Food and Agriculture Organization of the United Nations suggests increasing the food supply by 70% to feed the world population by 2050, although approximately one third of all food is wasted because of plant diseases or disorders. To achieve thi
Externí odkaz:
https://doaj.org/article/db83acec9d364a93a2e264d7ef465f70
Autor:
Anh-Thu Phan-Ho, Florent Retraint
Publikováno v:
IEEE Access, Vol 10, Pp 99268-99281 (2022)
With the advent of digital imaging, it has become fairly easy to modify the content of an image in many different ways while leaving no obvious visual clue. This has further challenged many existing image forensic techniques. The techniques which per
Externí odkaz:
https://doaj.org/article/818b9a2878bd4b45b7837afaf3943d4e
Publikováno v:
IEEE Access, Vol 10, Pp 4271-4283 (2022)
With the 2019 Coronavirus pandemic, we have seen an increasing use of remote technologies such has remote identity verification. The authentication of the user identity is often performed through a biometric matching of a selfie and a video of an off
Externí odkaz:
https://doaj.org/article/2c0b5e99673843bcbefac19303dc81c4
Autor:
Nhan Le, Florent Retraint
Publikováno v:
IEEE Access, Vol 10, Pp 71143-71164 (2022)
Various manipulations on JPEG images introduce single and multiple compression artifacts for forged and unmodified areas respectively. Based on the statistical analysis of JPEG compression cycle and on the finite mixture paradigm, we propose in this
Externí odkaz:
https://doaj.org/article/8c66ec687c3a4261b70447fc16a20b9e
Publikováno v:
IEEE Access, Vol 10, Pp 35750-35767 (2022)
Due to the considerable increase of images in everyday life, many applications require a study on their similarity. The main challenge is to find a simple and efficient method to compare and classify image pairs into similar and dissimilar classes. T
Externí odkaz:
https://doaj.org/article/f46fed7aed074242a426afa71d868373
Autor:
Nhan Le, Florent Retraint
Publikováno v:
IEEE Access, Vol 7, Pp 125038-125053 (2019)
This paper focuses on the digital image authentication and forgery localization using demosaicing artifacts. The aim is to build an algorithm allowing a bridge between the color filter array pattern and demosaicing algorithm estimation, and the stati
Externí odkaz:
https://doaj.org/article/f72c282c44af40e48aa29e5bda4a1893
Publikováno v:
IEEE Access, Vol 7, Pp 175429-175442 (2019)
The vulnerability of most existing face recognition and authentication systems against face presentation attacks (a.k.a. face spoofing attacks) has been mentioned and studied in many works. This paper introduces a novel parametric approach for face P
Externí odkaz:
https://doaj.org/article/534d3ca4e68c4de4b07f573218359bf9
A Watermarking Technique to Secure Printed Matrix Barcode—Application for Anti-Counterfeit Packaging
Publikováno v:
IEEE Access, Vol 7, Pp 131839-131850 (2019)
Counterfeiting of consumer goods is a critical problem which causes various negative impacts for consumers, enterprises and the whole economic ecosystem. Anti-counterfeit labels and packaging is one of the main solutions to help enterprises protect t
Externí odkaz:
https://doaj.org/article/440b6e5b395849e6810ff2146f86cf83
Publikováno v:
IEEE Access, Vol 6, Pp 6709-6721 (2018)
This paper addresses the problem of monitoring online a non-stationary process to detect abrupt changes in the process mean value. Two main challenges are addressed: First, the monitored process is nonstationary; i.e., naturally changes over time and
Externí odkaz:
https://doaj.org/article/a89d145da6b8430ab7452925756e3027