Researchers Develop a Facial Biometrics System Capable of Creating a Facial DNI
Friday, November 20th, 2009 - by Terry Melanson
Research into techniques of facial biometrics, carried out by scientists at Universidad Carlos III de Madrid (UC3M), has come up with a system that is able to recognize the facial “DNA” of every individual by determining his/her most noteworthy facial traits, with a of 95% rate of precision.
Recognition techniques based on facial features, known as facial biometrics, is usually based on the search for those traits which make one face different from another. The research carried out by this team, in contrast, approaches the issue from a slightly different point of view. “The difference between our work and the majority of the others that are found in this field is the idea of individualized models.”, explains one of the study’s authors, mathematician David Delgado Gomez from the UC3M Statistics Department. “Our objective”, he continued, “is to create a model for each person which highlights the most distinguishing features of each face, as a sort of facial “DNI”.
The researchers had this idea when they were imagining the situation of a crowded room where someone comes in asking for one of them. “Our way to describe a person is through some traits that the others don’t have, such as the tall woman with blue eyes, or the bald guy with a beard. We try to apply this idea to our algorithm.”, remarked Professor Delgado, who has been carrying out this research with Federico Sukno, Kaushik Pavani and Alejandro Frangi from the CISTIB Group of Universidad Pompeu Fabra of Barcelona, and Bjarne Ersboll and Jens Fagertun from the mathematical modelling group of Technical University of Denmark, which has recently published an article entitled “Similarity-based Fisherfaces”, with some of their research results appearing in the scientific journal Pattern Recognition Letters.


