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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics
Nordin Saad
Universiti Malaysia Sabah
Computer Science & IT Electrical & Electronics Engineering Engineering

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Age-based facial recognition using convoluted neural network deep learning algorithm Julius Yong Wu Jien; Aslina Baharum; Shaliza Hayati A. Wahab; Nordin Saad; Muhammad Omar; Noorsidi Aizuddin Mat Noor
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.608 KB) | DOI: 10.11591/ijai.v9.i3.pp424-428

Abstract

Face recognition is the use of biometric innovations that can see or validate a person by seeing and investigating designs depending on the shape of the individual. Face recognition is used largely for the purpose of well-being, despite the fact that passion for different areas of use is growing. Overall, face recognition innovations are worth considering because they have the potential for broad legal jurisdiction and different business applications. It is widely used in many spaces. How it works is a product of facial recognition processing facial geometry. The hole between the ear and the good way from the front to the jaw are the main variables. This code distinguishes the highlight of the face that is important for your facial separation and creates your facial expression. Therefore, this study gives an overview of age detection using a different combination of machine learning and image processing methods on the image dataset.
Modified iterative method with red-black ordering for image composition using poisson equation Zakariah Aris; Nordin Saad; A’qilah Ahmad Dahalan; Andang Sunarto; Azali Saudi
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.3076

Abstract

Image composition involves the process of embedding a selected region of the source image to the target image to produce a new desirable image seamlessly. This paper presents an image composition procedure based on numerical differentiation using the laplacian operator to obtain the solution of the poisson equation. The proposed method employs the red-black strategy to speed up the computation by using two acceleration parameters. The method is known as modified two-parameter over-relaxation (MTOR) and is an extension of the existing relaxation methods. The MTOR was extensively studied in solving various linear equations, but its usefulness in image processing was never explored. Several examples were tested to examine the effectiveness of the proposed method in solving the poisson equation for image composition. The results showed that the proposed MTOR performed faster than the existing methods.
Co-Authors Andang Sunarto Aslina Baharum Azali Saudi A’qilah Ahmad Dahalan Julius Yong Wu Jien Muhammad Omar Noorsidi Aizuddin Mat Noor Shaliza Hayati A. Wahab Zakariah Aris