IRJCS Published Papers by B. Karunungan
IRJCS:: AM Publications,India, 2019
Face makeup is applied to cover unwanted marked on the face in order to improve a person's appear... more Face makeup is applied to cover unwanted marked on the face in order to improve a person's appearance. However, this is used in criminal activities since makeup can disguise the true identity of the person. This concern serves as the basis by several studies to discover the technique and applied different methods to optimize the detection and improve accuracy. This study aims to conduct an experiment by applying new methods and techniques in order to provide new results which will increase the scope to consider. Furthermore, this study utilized best performing algorithms: the Haar-Cascade classifier for face detection, Color Feature Extraction for detection of face makeup and Local Binary Pattern Histogram algorithm for extraction and recognition of the features which applied in the experiments considering condition from fluorescent light and sunlight, angle variation of 0 degree, 45% upward and downward and distance of 0.5 meter and 1 meter. The study collected an overall of 3000 images which will serve as the training datasets. In result, the experiment marked an average accuracy of 88.75% comprises all the methods applied. Specifically, the result showed an average result of both sunlight and fluorescent result with no makeup marked an average score of 90% while the result with makeup marked a score of 87.5%. Moreover, the results showed a higher recognition in near distance of 0.5 meters, the fluorescent light recorded an accuracy result of 90% and 0% degree marked a score of 100%.
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IRJCS Published Papers by B. Karunungan