Nottingham Trent University
The difficulties of locating a desired facial image in a large and varied collection are now the current main problem in this field. In order to search in such large and varied images' collection, there is a growing need for efficient storage and retrieval techniques. In this paper, an effective approach towards content-based human facial image detection and retrieval is proposed. The paper proposes a technique of face segmentation based on which a new method of features extraction from the human face is developed. The capability and effectiveness of the RGB, HSV, and HSI color space models on facial image retrieval technique are investigated.