1. A method of in-camera face recognition training of a specific face within digital images acquired with a portable camera-enabled device, comprising: using a lens, an image sensor and processor of a portable camera-enabled device to acquire digital images; capturing or otherwise obtaining in the device multiple different images that include a face of a specific person: identifying groups of pixels that correspond to the face within the multiple different images; tracking the face within the multiple different images, wherein the tracking is performed in parallel with determining whether the identified face corresponds to the specific person; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate one or more reference classifier profiles of the face associated with the specific person, wherein the statistically analyzing comprises determining variance values for the sets of classifiers; normalizing the reference classifier profiles to determine normalized face classifiers of an average face associated with the specific person; generating a face recognition profile for the specific person based on the normalized face classifiers of the average face of the specific person; and programming the processor such that when a probability that an identified face corresponds to the specific person associated with the face recognition profile exceeds a predetermined threshold, then the processor initiates a workflow, image processing or other pre-or post-image acquisition action on the portable camera-enabled device based on the recognition of the face as belonging to the specific person; wherein the method is performed by one or more computing device.