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, image sensor and processor of a portable camera-enabled device to acquire digital images; generating in the device, 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; selecting sets of classifiers as matching the faces identified in the multiple different images; statistically analyzing the sets of classifiers to generate a reference classifier profile of the face associated with the specific person; repeating the generating, identifying, selecting and statistically analyzing one or more times to generate one or more further reference classifier profiles of the face associated with the specific person; 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 exceeds a predetermined threshold that an identified face corresponds to the specific person associated with the face recognition profile, 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.