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Proceedings Paper

Facial feature extraction in people's frontal view images
Author(s): Joaquin Salas; Joel Gonzalez
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Paper Abstract

We introduce a novel method for facial feature extraction. In our approach, we attempt to find the correspondence of an intensity grid, where a feature template is defined, to an image patch. Their similarity is measured with the Sampling Determination Coefficient, the square of the Linear Correlation Coefficient. The search space generated by this function make it easier for an optimization algorithm to find the parameters to extract the sought feature. We extract facial features from people's frontal view images, like the ones present in most photographs of passports, driver licenses and other documents alike. We tested our algorithm with 823 images. Facial features were correctly extracted n 99.028% of them.

Paper Details

Date Published: 28 December 2000
PDF: 7 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411550
Show Author Affiliations
Joaquin Salas, Instituto Politecnico National (Mexico)
Joel Gonzalez, Univ. de Guanajuato (Mexico)


Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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