Hand Geometric Points Detection Competition
NEWS
9th Feb. 2011 - Publication of the submitted algorithms ranking.
9th Feb. 2011 - Testing data set and respective annotation file were published.
10th Jan. 2011 - Despite of today's deadline, you can still register and participate until the 4th of February.
10th Jan. 2011 - Publication of the list with the pre-registered competitors.
27th Dez. 2010 - Update of training data set and respective annotation file were published.
25th Dez. 2010 - Training data set and respective annotation file were published.
We would like to invite you to the first competition on Hand Geometric Points Detection.
|
     |
Hand recognition systems are among the oldest biometric tools used for automatic person authentication.
Access control devices have been manufactured and commercialized since the late 1970s. Several patents
have already been issued for hand recognition devices and live applications have been launched and used
in nuclear plants, airports and hotels over the last 30 years. Palmprint recognition devices were used for
security purposes in the Department of Energy, U.S. Naval Intelligence in the 1970s. However, hand biometry
has become increasingly interesting in academic circles, mostly with the progress of computer vision research,
only in the last decade.
Hand-based person recognition is reliable, low-cost and user-friendly. All in all, it is a viable solution
for a range of access control applications. Other "nearest competitor" modalities are face, iris, fingerprint
and retinal biometry. The face recognition alternative is another low-cost solution for access control.
In contrast with these techniques, hand biometry offers some advantages: first, data acquisition is economical
via commercial low-resolution scanners or cameras, and its processing is relatively simple; second, according
to two public surveys, people like hand-based access systems, as they do not consider hand information to be as
private as iris or fingerprints in daily applications. Hence, they find hand biometry to be less invasive and more
convenient than other biometric modalities. Third, hand-based access systems are very suitable for indoor and
outdoor usage and can work well in extreme weather and illumination conditions. Fourth, the hand features of
adults are more stable over time and are not susceptible to major changes, except for injury or arthritis-based
deformations. Finally, hand-based biometric information has proved to be very reliable, successfully
recognizing people among populations of the order of several hundreds. Palmprint recognition can also be used
to enhance the security of e-commerce and banking applications via integration in the conventional systems using PIN codes and passwords.
The novel aspect of this competition relies on the absence of any restrictions during image acquisition, i.e., there are no pegs, markers
or restricted hand positions. Therefore, we believe that the possible outcome of this competition can be determinant to the improvement of
the state-of-the-art in this field.
|
|
|