Facial feature extraction in people's frontal view images

Joaquin Salas; Joel Gonzalez

doi:10.1117/12.411550

28 December 2000 Facial feature extraction in people's frontal view images

Joaquin Salas, Joel Gonzalez

Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411550
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Joaquin Salas and Joel Gonzalez "Facial feature extraction in people's frontal view images", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411550

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