Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Azim Zaliha Abd Aziz"'
Autor:
Muhammad Shazmil bin Mohd Sabilan, Azim Zaliha Abd Aziz, Fatma Susilawati Mohamad, Nur Farraliza Mansor, Nazirah Abd Hamid
Publikováno v:
2022 International Conference on Computer Technologies (ICCTech).
Reflection based analysis has been used in previous research for various objectives. Materials classification is one of them. Basically, each material consists of two types of reflections: surface and sub-surface. To separate these two reflections, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5050e27d6eed3a7a4da63669bdaae1b4
https://zenodo.org/record/7106823
https://zenodo.org/record/7106823
Autor:
Azim Zaliha Abd Aziz
Publikováno v:
Journal of Computer Science. 15:288-301
Autor:
Azim Zaliha Abd Aziz, Hong Wei
Publikováno v:
2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA).
Recently, several studies have shown the ability of polarized light as one of the face spoofing countermeasures. In this paper, polarized light is used to identify genuine human user from black ethnical skin color. Printed photos are used as spoofing
Publikováno v:
IWBF
Spoofing is an act to impersonate a valid user of any biometric systems in order to gain access. In a face biometric system, an imposter might use some fake masks that mimic the real user face. Existing countermeasures against spoofing adopt face tex
Autor:
Ali Almejrad, Saiful Bahri Mohamed, Azim Zaliha Abd Aziz, Kutiba Nanaa, Mohd Nordin Abd Rahman, Mohamed Rizon
Publikováno v:
American Journal of Applied Sciences. 10:1448-1456
This study presents a new eye detection method depending on composite template matching for facial images. The objective of this study is to utilize t emplate match method to detect the eyes from given images and to improve this method to obtain high
Autor:
Mohd Fadzil Abdul Kadir, Azim Zaliha Abd Aziz, Abd Rasid Mamat, Nurul Ain Najihah Yusri, Kutiba Nanaa, Mohamed Rizon
Publikováno v:
ICMV
A method of detecting mango fruit from RGB input image is proposed in this research. From the input image, the image is processed to obtain the binary image using the texture analysis and morphological operations (dilation and erosion). Later, the Ra
Publikováno v:
ICMV
This paper presents an experimental study of different depth sensors. The aim is to answer the question, whether these sensors give accurate data for general depth image analysis. The study examines the depth accuracy between three popularly used dep
Publikováno v:
IV
A new method for mango detection is presented in this paper. This method is based on preprocessing operators on image which includes converting to gray image, finding edges, calculating distances to edges, opening morphology and converting to binary