A method for identifying a facial region of a person in a digital image having a set of pixels, comprising the steps of: testing a plurality of the pixels of the image to identify those pixels associated with the imaging of pupils of the person by: (i) selecting a first intensity criteria most closely predictive of pupil imaging; (ii) quantitatively comparing a value associated with the pixels tested, which is indicative of intensity, to the first intensity criteria value to identify qualifying pixels, which are potentially predictive of pupil imaging pixels; (iii) if no qualifying pixels are found after comparing to the first intensity criteria, conducting thresholding by iteratively incrementally adjusting the first intensity criteria value such that it is progressively less indicative of pupil imaging, and testing against the iteratively incrementing intensity criteria until qualifying pixels are identified or a terminal intensity criteria value is reached; grouping qualifying pixels into objects based upon a spatial relationship between qualifying pixels and counting the number of objects to ascertain if at least two objects have been identified and if not, continuing to test the plurality of pixels to identify additional qualifying pixels by incrementally adjusting the first intensity criteria value such that it is less indicative of pupil imaging; testing the objects to ascertain that the objects have a size predictive of pupil imaging and if not, to continue to test the plurality of pixels to identify additional qualifying pixels by incrementally adjusting the first intensity criteria val ue such that it is less indicative of pupil imaging; and calculating a location of the facial region in the image based upon the location of the qualifying pixels identified in step. testing a plurality of the pixels of the image to identify those pixels associated with the imaging of pupils of the person by: (i) selecting a first intensity criteria most closely predictive of pupil imaging; (ii) quantitatively comparing a value associated with the pixels tested, which is indicative of intensity, to the first intensity criteria value to identify qualifying pixels, which are potentially predictive of pupil imaging pixels; (iii) if no qualifying pixels are found after comparing to the first intensity criteria, conducting thresholding by iteratively incrementally adjusting the first intensity criteria value such that it is progressively less indicative of pupil imaging, and testing against the iteratively incrementing intensity criteria until qualifying pixels are identified or a terminal intensity criteria value is reached; (i) selecting a first intensity criteria most closely predictive of pupil imaging; (ii) quantitatively comparing a value associated with the pixels tested, which is indicative of intensity, to the first intensity criteria value to identify qualifying pixels, which are potentially predictive of pupil imaging pixels; (iii) if no qualifying pixels are found after comparing to the first intensity criteria, conducting thresholding by iteratively incrementally adjusting the first intensity criteria value such that it is progressively less indicative of pupil imaging, and testing against the iteratively incrementing intensity criteria until qualifying pixels are identified or a terminal intensity criteria value is reached; grouping qualifying pixels into objects based upon a spatial relationship between qualifying pixels and counting the number of objects to ascertain if at least two objects have been identified and if not, continuing to test the plurality of pixels to identify additional qualifying pixels by incrementally adjusting the first intensity criteria value such that it is less indicative of pupil imaging; testing the objects to ascertain that the objects have a size predictive of pupil imaging and if not, to continue to test the plurality of pixels to identify additional qualifying pixels by incrementally adjusting the first intensity criteria val ue such that it is less indicative of pupil imaging; and calculating a location of the facial region in the image based upon the location of the qualifying pixels identified in step.