Innertron: New Methodology of Facial Recognition, Part II

Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 31)


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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  1. 1.
    Lewis, R.A., Ras, Z.W., Innertron: New methodology of facial recognition, Part II, in Intelligent Information Processing and Web Mining, Advances in Soft Computing, Proceedings of the IIS’2005 Symposium, Gdansk, Poland, Springer-VerlagGoogle Scholar
  2. 2.
    See: Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  1. 1.Computer Science Dept.UNC-CharlotteCharlotteUSA
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarsawPoland

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