Feature Recognition System for Rotational Features.
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In this paper, multi-feature fusion using Scale Invariant Feature Transform (SIFT) and Local Extensive Binary Pattern (LEBP) was proposed to obtain a feature that
Linear Discriminant Analysis is the method of feature extraction which is the faces of the same subjects are grouped into separate classes and the variations between
The project proposes a classification system using Gray Level Co-Occurrence Matrix (GLCM) as feature extractor, K-Nearest Neighbor (K-NN) as classifier and Binary
The authors would like to thank the Government of Malaysia for sponsoring the research, Universiti Teknikal Malaysia Melaka for granting the study leave and incentives, and
In this study, Hough transform and the edge detection operator which consists of Canny, Sobel and Prewitt are employed in segmenting the iris boundaries in producing
This fbnction of voice recognition security system is to have a system that will only unlock upon recognizing a voice from password spoken by the administrator or
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viii Figure 3.12: Computation of Principal Component Analysis 45 Figure 3.13: Implementation of Euclidean Distance between subjects 50 Figure 3.14: Matching Score Level technique from