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A classical method for detecting overlapping faces in images

Face Detection plays an important role in different applications such as Human Computer Interfaces, Security Systems, Face Recognition, Content Based Image Retrieval, etc. Detecting overlapping faces is one of the challenges in face detection applications. A classical algorithm to identify overlapped faces is presented in this paper. Initially, the skin area is segmented from the input image and the binary output image is divided into blocks of equal size. The feature vector of each block is projected and compared with all the other blocks. Finally, the blocks are classified according to the feature set and the overlapped faces are separated. Our experimental results demonstrate that the proposed method is efficient enough to detect faces in images with overlapped faces.