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Dive into the research topics where Mohd Fikri Azli Abdullah is active.

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Featured researches published by Mohd Fikri Azli Abdullah.


Expert Systems With Applications | 2014

Face recognition with Symmetric Local Graph Structure (SLGS)

Mohd Fikri Azli Abdullah; Shohel Sayeed; Kalaiarasi Sonai Muthu; Housam Khalifa Bashier; Afizan Azman; Siti Zainab Ibrahim

Face recognition demonstrates the significant progress in the research field of biometric and computer vision. The fact is due to the current systems perform well under relatively control environments but tend to suffer when the present of variation in pose, illumination, and facial expression. In this work, a novel approach for face recognition called Symmetric Local Graph Structure (SLGS) is presented based on the Local Graph Structure (LGS). Each pixel is represented with a graph structure of its neighbours’ pixels. The histograms of the SLGS were used for recognition by using the nearest neighbour classifiers that include Euclidean distance, correlation coefficient and chi-square distance measures. AT&T and Yale face databases were used to be experimented with the proposed method. Extensive experiments on the face database clearly showed the superiority of the proposed approach over Local Binary Pattern (LBP) and LGS. The proposed SLGS is robust to variation in term of facial expressions, facial details, and illumination. Due to good performance of SLGS, it is expected that SLGS has a potential for application implementation in computer vision.


Security and Communication Networks | 2012

Simple SMS spam filtering on independent mobile phone

M. Taufiq Nuruzzaman; Changmoo Lee; Mohd Fikri Azli Abdullah; Deokjai Choi

The amount of Short Message Service (SMS) spam is increasing. Various solutions to filter SMS spam on mobile phones have been proposed. Most of these use Text Classification techniques that consist of training, filtering, and updating processes. However, they require a computer or a large amount of SMS data in advance to filter SMS spam, especially for the training. This increases hardware maintenance and communication costs. Thus, we propose to filter SMS spam on independent mobile phones using Text Classification techniques. The training, filtering, and updating processes are performed on an independent mobile phone. The mobile phone has storage, memory and CPU limitations compared with a computer. As such, we apply a probabilistic Naive Bayes classifier using word occurrences for screening because of its simplicity and fast performance. Our experiment on an Android mobile phone shows that it can filter SMS spam with reasonable accuracy, minimum storage consumption, and acceptable processing time without support from a computer or using a large amount of SMS data for training. Thus, we conclude that filtering SMS spam can be performed on independent mobile phones. We can reduce the number of word attributes by almost 50% without reducing accuracy significantly, using our usability-based approach. Copyright


Wireless Personal Communications | 2011

Wireless LAN Access Point Placement Based on User Mobility

Muhammad Taufiq; Mohd Fikri Azli Abdullah; Deokjai Choi

In a wide area campus, a university provides Wireless Local Area Network (WLAN) for users to connect to the Internet. Most users take advantage of this WLAN benefit by using their laptops. However, the number of smart phone users is growing fast. Since a smart phone is able to get an Internet connection using WLAN, users can use their smart phones without having to pay for a cellular operator. Users tend to use their smart phones more, due to their higher mobility compared to a laptop. This capability enables new services in the market, such as Fixed-Mobile Convergence (FMC), which integrates a fixed network (traditional telephony, WLAN) and a mobile network (cellular) to provide seamless voice communications anytime, anywhere. These new applications require a WLAN connection availability nearly everywhere. However, due to limited budgets, a university can only install APs in places with a high connection demand. We propose a novel WLAN AP placement technique that takes user mobility into consideration. This new approach is more complete than previous approaches, which mainly focus on coverage area and throughput data. Our technique has been implemented in our university. The results show the suitability of the WLAN access point locations in our university campus based on user mobility and activities.


Archive | 2016

A Framework on Cloud Based Connected Car Services

Sumendra Yogarayan; Afizan Azman; Kirbana Jai Raman; Hesham Ali Alsayed Elbendary; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim

The connected car is a loaded term describing all the technological advances happening inside automobiles with assistance of cloud technology to transfer information. The best known connected-car technology is satellite navigation, which uses the global-positioning system (GPS) simultaneously with a database of roads to provide directions and find points of interest. Following globalized technology era, many consumers are now adding internet connectivity to their cars in portable device which acts as the “smart” phone. Besides that, a two-way internet link allows for more detailed forms of navigation, and also makes it possible to gather and accumulate information from small to large numbers of vehicles. Smartphone’s is continuously changing how consumers interact with the world around them. Connected car with cloud technology can broaden this interactive dynamic to drivers on the road. In this paper, we proposed to deliver in-car experience for drivers or passengers using cloud technology.


international conference on information science and applications | 2018

Real Time Driver Anger Detection

Afizan Azman; Kirbana Jai Raman; Imran Artwel Junior Mhlanga; Siti Zainab Ibrahim; Sumendra Yogarayan; Mohd Fikri Azli Abdullah; Siti Fatimah Abdul Razak; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu

The field of artificial intelligence has seen an increasing number of researches being done related to facial expression recognition. Different methods have been proposed with some of them yielding good results and some performing poorly. Apart from that, anger plays a pivotal role in road accidents since road rage is stated to be one of the contributing factors to road accidents. In order to cater road rage and considering it being harmful to drivers and passengers, this paper proposes a real time driver anger detection. The project classifies human facial expressions, mainly anger expression in real time from a live video in order to warn the driver and eventually road accidents can be reduced.


international conference on information science and applications | 2018

A Study of Wireless Communication Technologies for Vehicular Communication

Afizan Azman; Sumendra Yogarayan; Samuel Leong Wei Jian; Siti Fatimah Abdul Razak; Kirbana Jai Raman; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim; Anang Hudaya Muhamad Amin; Kalaiarasi Sonai Muthu

In recent years, vehicle communication is an advanced technology that has attain attention in both industries and academician all over the world. The initiation on vehicular communication is to improve road safety, efficiency and comfort. This paper studies the availability of the wireless communication technologies for vehicular communication and the possible implementation of the suitable wireless communication for vehicle communication in the context of Malaysia.


Archive | 2016

Driver Fatigue Detection

Muhamad Hafiz Abdullah; Kirbana Jai Raman; Afizan Azman; Sumendra Yogarayan; Hesham Ali Alsayed Elbendary; Mohd Fikri Azli Abdullah; Siti Zainab Ibrahim

Driver fatigue detection is a term used to develop a nonintrusive system which can detect fatigue of the driver and issue a timely warning. The idea behind this project is to monitor the driver’s eyes using a camera in real time and to develop algorithm that can detect driver fatigue. Besides, the system also produces warning output in a form of sound once fatigue is detected.


world congress on information and communication technologies | 2014

Sequential graphical password framework for mobile devices

Liew Tze Hui; Housam Khalifa Bashier; Lau Siong Hoe; Wee Kouk Kwee; Mohd Fikri Azli Abdullah

Nowadays, computer systems are very essential for human daily life for its ability to store and retrieve data in a more meaningful way. Thus, the data stored in computer system contains a very critical and important information and therefore, theres a critical needs to put more effort in handling of such data. Based on the traditional method, the most popular authentication way for computer security is using alphanumeric password. However, this type of authentication method come with few drawbacks. In recent years, many new methods have been developed by researchers to overcome the limitation of the password authentication, and one of the most popular method is known as graphical password, which utilizes picture as password instead of the alphanumeric string. Hence, this paper propose a new graphical password framework and method to be used in mobile-platform. Finally, the experiments results demonstrated the effectiveness of the proposed solution.


Archive | 2013

Real Time Face tracker based on Local Graph Structure Threshold (LGS-TH)

Housam Khalifa Bashier; Eimad Eldin Abusham; Mohd Fikri Azli Abdullah; Tze Hui Liew; Ibrahim Yusof; Siong Hoe Lau


Archive | 2014

Distributed visual enhancement on surveillance video with Hadoop Mapreduce and performance evaluation in pseudo distributed mode

Mohd Fikri Azli Abdullah; Shohel Sayeed; Nazrul Muhaimin Ahmad; Ibrahim Yusof; Housam Khalifa Bashier

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