Face recognition systems are getting better

The results of the latest round of biometric testing are out, and face recognition systems have improved a lot. This is important because face recognition can be used for a variety of applications, including matching against ID photos on driver’s licenses and passports. Automatic face recognition can also be done covertly, at a distance, which has important privacy concerns.

Technology Review: Better Face-Recognition Software

For scientists and engineers involved with face-recognition technology,the recently released results of the Face Recognition Grand Challenge–more fully, the Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006–have been a quiet triumph. Sponsored by the National Institute of Standards and Technology (NIST), the match up of face-recognition algorithms showed that machine recognition of human individuals has improved tenfold since 2002 and a hundredfold since 1995. Indeed, the best face-recognition algorithms now perform more accurately than most humans can manage. Overall, facial-recognition technology is advancing rapidly.

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2 thoughts on “Face recognition systems are getting better”

  1. Speaking of face recognition, Google is experimenting with face finding for the image searches. Here is an excerpt from a recent article at http://arstechnica.com/news.ars/post/20070530-facial-recognition-slipped-into-google-image-search.html

    Google upped its stalker factor this week by adding face recognition abilities to its image search. While currently unofficial and unannounced, users can now search for images that only contain faces by appending a query string onto the end of a search URL. For example, a general image search for “Ars Technica” produces a variety of image results, but when appending “&imgtype=face” to the end of the URL, all new results contain photos of people.

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