Ridza Azri Ramlee

Face Detection Using Radial Basis Function Neural Networks with Variance Spread Value

This paper present a face detection system using Radial Basis Function Neural Networks With Variance Spread Value. Face detection is the first step in face recognition system. The purpose is to localize and extract the face region from the background that will be fed into the face recognition system for identification. General preprocessing approach was used for normalizing the image and a Radial Basis Function (RBF) Neural Network was used to distinguish between face and non-face images. RBF Neural Networks offer several advantages compared to other neural network architecture such as they can be trained using fast two stages training algorithm and the network possesses the property of best approximation. The output of the network can be optimized by setting suitable values of the center and spread of the RBF. In this paper, variance spread value will be used for every cluster where the value of spread will be calculated using algorithm. The performance of the RBFNN face detection system will be based on the detection rate, False Acceptance Rate (FAR) and the False Rejection Rate (FRR) criteria.

An investigation of drugs detection technique using RF radiation exposure in room temperature

In this technical paper contains the information of the Radio Frequency (RF) exposure along 10 MHz to 3 GHz frequency on pharmaceutical medicine where in this testing Paracetamol were tested. The samples were prepared at five different mol (10, 20, 30, 40 & 50 ml) and three different distances (5, 10, 15 cm) between horn antenna and the samples. The reactions from the medicine due to RF radiation are measured at S11 by fixed distance versus varied mol and fixed mol versus varied distance. The quasi-static technique and the RF exposure results, with respective specification was included and discussed.

Palm Vein Pattern Visual Interpretation Using Laplacian and Frangi-Based Filter

Zarina Mohd Noh*, Abdul Rahman Ramli, Marsyita Hanafi, M Iqbal Saripan, Ridza Azri Ramlee 1,2,3,4 Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia 1,5 Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka (UTeM), Hang Tuah Jaya, 75450 Durian Tunggal, Melaka, Malaysia