1. A method for determining if a candidate for red-eye removal processing is a mouth, comprising: receiving from an eye classifier a plurality of candidate red-eye objects, each of the candidate red-eye objects contained within a bounding rectangle; for each particular candidate red-eye object: segmenting the candidate red-eye object to obtain a segmented red region within the candidate red-eye object's bounding rectangle; extracting a feature k w , defined as the ratio between a width of the segmented red region and a width of the bounding rectangle; extracting a feature k h , defined as the ratio between a height of the segmented red region and a height of the bounding rectangle; extracting a feature s, defined as the ratio between the width and height of the segmented red region; extracting a feature v, defined as a decision score from the eye classifier; extracting a feature m, defined as a geometrical relationship between the particular candidate red-eye object and others of the plurality of candidate red-eye objects; and using the features k w , k h , s, v, and m to determine if the particular candidate red-eye object is a mouth.