Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammed Sadoon Hathal"'
Publikováno v:
Journal of Engineering, Vol 30, Iss 8 (2024)
Pedestrian detection is well known as one of the most important applications in computer vision. However, reliable pedestrian detection is difficult due to a variety of factors, including changing size of pedestrian characteristics and crowded backgr
Externí odkaz:
https://doaj.org/article/4912497cce9943c0a7800823732de164
Autor:
Dina A. Abdulqader, Mohammed Sadoon Hathal, Basheera M. Mahmmod, Sadiq H. Abdulhussain, Dhiya Al-Jumeily
Publikováno v:
IEEE Access, Vol 10, Pp 114455-114468 (2022)
Image pattern classification is considered a significant step for image and video processing. Although various image pattern algorithms have been proposed so far that achieved adequate classification, achieving higher accuracy while reducing the comp
Externí odkaz:
https://doaj.org/article/0ae34947802a491f87368c2ab4983765
Publikováno v:
Journal of Engineering, Vol 26, Iss 7 (2020)
In recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the road in all the sections of the country. Vehicle number plate identification based on image processing is a dynamic area of this work
Externí odkaz:
https://doaj.org/article/515f2295bdd348f992c235192d0e1e2c
Publikováno v:
Baghdad Science Journal, Vol 17, Iss 3 (2020)
In recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the roads in all the sections of the country. Arabic vehicle number plate identification based on image processing is a dynamic area of t
Externí odkaz:
https://doaj.org/article/f46c1d774cea4dcb99d61a4d314178b0
Publikováno v:
Progress In Electromagnetics Research M. 100:141-150
Publikováno v:
Baghdad Science Journal, Vol 17, Iss 3 (2020)
In recent years, there has been expanding development in the vehicular part and the number of vehicles moving on the roads in all the sections of the country. Arabic vehicle number plate identification based on image processing is a dynamic area of t