Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Master Prince"'
Publikováno v:
IEEE Access, Vol 9, Pp 50755-50766 (2021)
Human face and facial features gain a lot of attention from researchers and are considered as one of the most popular topics recently. Features and information extracted from a person are known as soft biometric, they have been used to improve the re
Externí odkaz:
https://doaj.org/article/5d507226b8ec47fe9fccc528249c63b5
Publikováno v:
IEEE Access, Vol 7, Pp 185750-185759 (2019)
Generally speaking, the orientation of an image can easily be recognized by human beings. On the other hand, recognizing the orientation of an image is one of the challenges facing digital image processing. Several attempts have been made in this res
Externí odkaz:
https://doaj.org/article/3da20d240ed34adfae1580c0585aea61
Autor:
Norah A. Al-Humaidan, Master Prince
Publikováno v:
IEEE Access, Vol 10, Pp 32442-32442 (2022)
In the above article [1], the name of the collegewas missing from the affiliation of the authors.
Externí odkaz:
https://doaj.org/article/914a9788e8bb4bbab49f9bf8bf1bd08e
Publikováno v:
IEEE Access, Vol 10, Pp 32171-32171 (2022)
In the above article [1], the name of the college was missing from the affiliation of the first two authors.
Externí odkaz:
https://doaj.org/article/4e2af84ddbc74d7986bc0a0997a34ad6
Autor:
Master Prince, Norah Almohaimeed
Publikováno v:
International Journal of Computer Applications. 181:1-8
Autor:
Master Prince
Publikováno v:
International Journal of Advanced Computer Science and Applications. 12
Autor:
Bashayer Alharbi, Master Prince
Publikováno v:
International Journal of Engineering Research and Technology. 13:814
Autor:
Master Prince
Publikováno v:
International Journal of Advanced Computer Science and Applications. 7
If there are pros, corns are always there. As email becomes a part of individual’s need in our busy life with its benefits, it has negative aspect too by means of email spamming. Nowadays images with embedded text called image spamming have been us
Autor:
Master Prince
Publikováno v:
SSRN Electronic Journal.
In this paper, an improved version of my previous work is introduced, i.e. an enhanced and an efficient method of emotion normalization for the faces recognition is proposed. This approach is also used to reduce the computational overhead by 1/n (n i