A cutting-edge face recognition software could revolutionize security systems, especially if it can see through disguises, according to the latest research.
Every face has special features that define that person, yet faces can also be very similar, explained Ling Huang from from Florida Atlantic University (FLA)in Boca Raton. That makes computerized face recognition for security and other applications an interesting but difficult task. however, powerful techniques have so far required powerful computers.
Now, Huang and colleagues Hanqi Zuhang and Salvotore Morgera, have applied a one dimensional filter to the two dimensional data from conventional analysis, such as the Gabor method this allows them to reduce significantly the amount of computer power required without compromising accuracy. It can even see through certain types of disguises such as facial hair and glasses.
The team tested the performance of their new algorithm on a standard database of 400 images and 40 subjects. They found that their technique is not only faster and works with low resolution images, such as those produced by CCTV cameras, but also solves the variation problems caused by different light levels and shadows, viewing directions, pose and facial expressions.
Face recognition software has been in development for many years. However, for biometric authentication at border crossings, for access to buildings, for automated banking and crime investigation.
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