On the isolation of spectacles from faces for the recognition of facial expressions and personal identifications

A new effective algorithm for isolating spectacles from facial images is presented. In the biometric person authentication through facial images, many faces with spectacles must be taken into account. However, the verification of the two images between one face with spectacles (input image, for instance) and another face without spectacles (registered image, for instance), which are taken from the same person, are not considered in the conventional system and have not been investigated thus far. In the practical case, however, these conditions are frequently considered. To expect a high matching ratio and stability for distinguishing a person from others, an effective method of isolating spectacles from facial images with spectacles must be developed. From this point of view, an effective method to isolate spectacles from facial images and the results of the experiment that occurred are presented. By using many types of spectacles, the efficacy of the proposed method was examined. As a result, 74.3% of extraction accuracy was obtained.