Optimizing Fuzzy Rule Base for Illumination Compensation in Face Recognition using Genetic Algorithms
Journal Title: EMITTER International Journal of Engineering Technology - Year 2014, Vol 2, Issue 2
Abstract
Fuzzy rule optimization is a challenging step in the development of a fuzzy model. A simple two inputs fuzzy model may have thousands of combination of fuzzy rules when it deals with large number of input variations. Intuitively and trialāerror determination of fuzzy rule is very difficult. This paper addresses the problem of optimizing Fuzzy rule using Genetic Algorithm to compensate illumination effect in face recognition. Since uneven illumination contributes negative effects to the performance of face recognition, those effects must be compensated. We have developed a novel algorithm based on a reflectance model to compensate the effect of illumination for human face recognition. We build a pair of model from a single image and reason those models using Fuzzy. Fuzzy rule, then, is optimized using Genetic Algorithm. This approach spends less computation cost by still keeping a high performance. Based on the experimental result, we can show that our algorithm is feasible for recognizing desired person under variable lighting conditions with faster computation time.
Authors and Affiliations
Bima Sena Bayu Dewantara, Jun Miura
Ambient Noise Characterization of Shallow Water Environment
Understanding of environmental characteristic is a key factor in design of communication system. This paper describes an ambient noise characterization of measurement in the shallow water ofSurabaya bay. The result show...
Traffic Analysis of Quality of Service (QoS) for Video Conferencing between Main Campus and Sub Campus in Laboratory Scale
Recently, in the distance learning system, video conferencing becomes one of expected course material delivery systems for creating a virtual class such that lecturer and student which are separated at long distance can...
The rSPA Processes of River Water-quality Analysis System for Critical Contaminate Detection, Classification Multiple-water-quality-parameter Values and Real-time Notification
The water quality analysis is one of the most important aspects of designing environmental systems. It is necessary to realize detection and classification processes and systems for water quality analysis. The important...
A Prediction System of Dengue Fever Using Monte Carlo Method
Dengue fever is an acute disease that clinically can cause death because there is no prediction system to estimate dengue fever cases so it resulted in the growing of dengue fever cases every year. Original data gatherin...
Semantic Songket Image Search with Cultural Computing of Symbolic Meaning Extraction and Analytical Aggregation of Color and Shape Features
The term "Songket" comes from the Malay word "Sungkit", which means "to hook" or "to gouge". Every motifs names and variations was derived from plants and animals as source of inspiration to create many patterns of songk...