Locating and Extracting Human Face in a Cluttered Scene by using Genetic Search

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  • Locating and Extracting Human Face in a

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This work investigates a new approach to detect human face in a cluttered scene. Our method consists of two main search procedures, both using genetic algorithm. The first one is to locate a head inside the scene and the second one is to identify the existence of face within the extracted head area. For this purpose, we have developed two models to he used as a tool to calculate the fitness for each observation in the search procedure: One is a head model which is approached by an ellipse and the other one is a face template which size is adjustable. To find a face, we exploited face salient features such as eyes and nose/mouth on binary image where the features look darker. The procedures work sequentially. The head search is activated first, and after the head area is found, the face detection is activated. The experiment demonstrates the effectiveness of the method. Since our ultimate aini is to provide a good quality of face image for recognition, we also made comparison between face image magnification by linear interpolation with that obtained by zooming camera. The results gives our preference toward that, obtained by zooming camera.

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