Saturday, April 10, 2010

GROUP FACE IDENTIFICATION BASED ON SKIN TONE AND DCTAPPROACH

In a group photograph, the computersystem by itselfsegregating theficice image area fi-oni am, whel image segment is too dflicult. In this article, a novel method.for detecting humanfacesfroni group images based on skin filtering using elliptical mode is described Individual candidates are extracted from thefillered (DCT) and classWed asioce and non-face by, detecting eyes. Found eye locations are used to re-orient thefaces vertically As distance proportion between thefbund eyes is use to approximateface region. Discrete cosine transformation (DCT) is used in-feature extraction. In DCTa subset ofthe transform coefficients are necessarY to preser most important facial features. A class (fier is used to ncognizeface features into appropriate classes. This approach achieves 99% accurac-v inj ace detection in group images and92%, in face recognition This approach outperforms in various conditions involving/aces with a wide range offacial variations such its color; position scale, orientation and complex background