This study inscribes a new approach for determining face-recognition system’s accuracy using a novel coarse-to-fine level set scheme. Recognizing a face in a facial database by using segmentation is a trivial challenge for many researchers. To distinguish facial photographic images from a background, the discrete wavelet transform is utilized to extract facial images. Novel energy function model is used for solving a contour extraction problem. In order to segment images, coarse-to-fine level set scheme is implemented. Finally face recognition process is done by face detection through the segmented images and matches the face with their same photograph, which is avail in the database. Extensive experiments have been carried out on capturing a facial photograph dynamically to validate the proposed method.