NDLI: Local Absolute Binary Patterns as Image Preprocessing for Grip-Pattern Recognition in Smart Gun

Content Provider	IEEE Xplore Digital Library
Author	Xiaoxin Shang Veldhuis, R.N.J.
Copyright Year	2007
Description	Author affiliation: Univ. of Twente, Enschede (Xiaoxin Shang; Veldhuis, R.N.J.)
Abstract	In a biometric verification system of a smart gun, the rightful user is recognized based on his hand-pressure 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 grip-pattern 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.
Starting Page	1
Ending Page	6
File Size	11210623
Page Count	6
File Format	PDF
ISBN	9781424415960
DOI	10.1109/BTAS.2007.4401939
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Image recognition Shape Fingers Prototypes Pattern recognition Data mining Probes Pixel Testing
Content Type	Text
Resource Type	Article

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