Infrared Face Recognition Using Distance Transforms
In this work we present an efficient approach for face
recognition in the infrared spectrum. In the proposed approach
physiological features are extracted from thermal images in order to
build a unique thermal faceprint. Then, a distance transform is used
to get an invariant representation for face recognition. The obtained
physiological features are related to the distribution of blood vessels
under the face skin. This blood network is unique to each individual
and can be used in infrared face recognition. The obtained results are
promising and show the effectiveness of the proposed scheme.
[1] A.A. Ross, K. Nandakumar, and A.K. Jain, Handbook of
Multibiometrics, Springer, 2006.
[2] A.K. Jain, P. Flynn, and A.A. Ross, Handbook of Biometrics, Springer,
2007.
[3] A. Bronstein, M. Bronstein, and R. Kimmel., "Three-dimensional face
recognition", International Journal of Computer Vision, vol. 64, p. 5-30,
2005.
[4] S. Kong, J. Heo., B. Abidi, J. Paik, and M. Abidi, "Recent advances in
visual and infrared face recognition: a review", Computer Vision &
Image Understanding, vol. 97, p. 103-135, 2005.
[5] P. Buddharaju, I. Pavlidis, C. Manohar, "Face Recognition Beyond the
Visible Spectrum", In Advances in Biometrics: Sensors, Algorithms and
Systems, N. K. Ratha and V. Govindaraju Editors, ISBN 978-1-84628-
921-7, pp. 157-180, Springer London, Nov. 2007.
[6] P. Buddharaju, I.T. Pavlidis and P. Tsiamyrtzis, "Pose-Invariant
Physiological Face Recognition in the Thermal Infrared Spectrum",
IEEE Conference on Computer Vision and Pattern Recognition
Workshop, New York , pp. 53-53, 2006.
[7] S. Umbaugh, Computer imaging: Digital Image analysis and
Processing, 1st Edition, CRC Press, 2005.
[8] R.C. Gonzalez and R.E. Woods, Digital Image Processing, 2nd Edition,
Prentice Hall, 2002.
[1] A.A. Ross, K. Nandakumar, and A.K. Jain, Handbook of
Multibiometrics, Springer, 2006.
[2] A.K. Jain, P. Flynn, and A.A. Ross, Handbook of Biometrics, Springer,
2007.
[3] A. Bronstein, M. Bronstein, and R. Kimmel., "Three-dimensional face
recognition", International Journal of Computer Vision, vol. 64, p. 5-30,
2005.
[4] S. Kong, J. Heo., B. Abidi, J. Paik, and M. Abidi, "Recent advances in
visual and infrared face recognition: a review", Computer Vision &
Image Understanding, vol. 97, p. 103-135, 2005.
[5] P. Buddharaju, I. Pavlidis, C. Manohar, "Face Recognition Beyond the
Visible Spectrum", In Advances in Biometrics: Sensors, Algorithms and
Systems, N. K. Ratha and V. Govindaraju Editors, ISBN 978-1-84628-
921-7, pp. 157-180, Springer London, Nov. 2007.
[6] P. Buddharaju, I.T. Pavlidis and P. Tsiamyrtzis, "Pose-Invariant
Physiological Face Recognition in the Thermal Infrared Spectrum",
IEEE Conference on Computer Vision and Pattern Recognition
Workshop, New York , pp. 53-53, 2006.
[7] S. Umbaugh, Computer imaging: Digital Image analysis and
Processing, 1st Edition, CRC Press, 2005.
[8] R.C. Gonzalez and R.E. Woods, Digital Image Processing, 2nd Edition,
Prentice Hall, 2002.
@article{"International Journal of Information, Control and Computer Sciences:63982", author = "Moulay A. Akhloufi and Abdelhakim Bendada", title = "Infrared Face Recognition Using Distance Transforms", abstract = "In this work we present an efficient approach for face
recognition in the infrared spectrum. In the proposed approach
physiological features are extracted from thermal images in order to
build a unique thermal faceprint. Then, a distance transform is used
to get an invariant representation for face recognition. The obtained
physiological features are related to the distribution of blood vessels
under the face skin. This blood network is unique to each individual
and can be used in infrared face recognition. The obtained results are
promising and show the effectiveness of the proposed scheme.", keywords = "Face recognition, biometrics, infrared imaging.", volume = "2", number = "4", pages = "1323-4", }