Local absolute binary patterns as image preprocessing for grip-pattern recognition in smart gun
Shang, Xiaoxin and Veldhuis, Raymond N.J. (2007) Local absolute binary patterns as image preprocessing for grip-pattern recognition in smart gun. In: First IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2007, 27-29 September 2007, Washington, DC, USA (pp. pp. 1-6).
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|Abstract:||In a biometric verification system of a smart
gun, the rightful user is recognized based on his handpressure pattern. The main factor which affects the
verification performance of this system is the variation
between the probe image and the gallery image of a
subject, in particular when the probe and the gallery
images have been recorded with a few weeks in between.
One of the major variations is in the pressure distribution
of images. In this work, we propose a novel preprocessing
technique, Local Absolute Binary Patterns, prior to grippattern classification. With respect to a certain pixel in an image, Local Absolute Binary Patterns processing
quantifies how its neighboring pixels are fluctuating.
It will be shown that this technique can both reduce
the variation of pressure distribution, and extract information of the hand shape in the image. Therefore, a significant improvement of the verification result has been achieved.
|Item Type:||Conference or Workshop Item|
|Copyright:||© 2007 IEEE|
Electrical Engineering, Mathematics and Computer Science (EEMCS)
|Link to this item:||http://purl.utwente.nl/publications/61998|
|Export this item as:||BibTeX|
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