Paper Info
Title
Weighted Attribute Fusion Model for Face Recognition
Abstract
Recognizing a face based on its attributes is an easy task for a human to perform as it is a cognitive process. In recent years, Face Recognition is achieved with different kinds of facial features which were used separately or in a combined manner. Currently, Feature fusion methods and parallel methods are the facial features used and performed by integrating multiple feature sets at different levels. However, this integration and the combinational methods do not guarantee better result. Hence to achieve better results, the feature fusion model with multiple weighted facial attribute set is selected. For this feature model, face images from predefined data set has been taken from Olivetti Research Laboratory (ORL) and applied on different methods like Principal Component Analysis (PCA) based Eigen feature extraction technique, Discrete Cosine Transformation (DCT) based feature extraction technique, Histogram Based Feature Extraction technique and Simple Intensity based features. The extracted feature set obtained from these methods were compared and tested for accuracy. In this work we have developed a model which will use the above set of feature extraction techniques with different levels of weights to attain better accuracy. The results show that the selection of optimum weight for a particular feature will lead to improvement in recognition rate.
Year
Venue
Keywords
2010
Clinical Orthopaedics and Related Research
face recognition,pattern recognition,cognitive process,feature extraction,principal component analysis,discrete cosine transform
Field
DocType
Volume
Dimensionality reduction,Computer science,Feature (machine learning),Feature model,Artificial intelligence,Kanade–Lucas–Tomasi feature tracker,Computer vision,Facial recognition system,Feature vector,Pattern recognition,Feature (computer vision),Feature extraction,Machine learning
Journal
abs/1009.0
ISSN
Citations 
PageRank 
International Journal of Computer Science and Information Security,Vol. 8, No. 3, 2010
0
0.34
References 
Authors
2
2
Name
Order
Citations
PageRank
Sakthivel Subramaniam110.69
Lakshmipathi R232.40