The first part of the Innertron methodology for facial recognition, presented in [1], removes those faces that certainly do not fall within the constraints of the nose domain with an upper limit at (2.0, -1.5) to (-2.0, -1.5) and a lower domains at (3.0, -7.5) to (-3.0, -7.5). The 300 square pixels will contain the nose of the subject sought. The second part of the Innertron methodology, presented in this paper, in essence knows that the subject sought is somewhere close by and now starts looking at features such as the eyebrows, angles of the eyes, thickness of the nose, shape of the nostril. Seven regions are distinguished that take into account the ability to lift eyebrows and most importantly the ability to cover portions of the face and still garner a hit in the database.
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