Automatic authentication technique based on supervised ART-2 and polynomial spline pyramid algorithm

  • Authors:

  • Ning Chen;Boqin Feng;Haixiao Wang;Hao Zhang

  • Affiliations:

  • Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China;West Orange, NJ;Shenzhen Traffic Control Center, Shenzhen, Guangdong, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
  • Year:
  • 2005

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Abstract

This paper introduced a technique for authenticating the vehicle engines by comparing the images of the imprints of the identification number acquired when the vehicle was first registered and the ones acquired from the routine yearly vehicle inspection. The images are taken by rubbing a pencil over a piece of paper covered over the images and then are scanned into a computer. Due to the nature of the acquiring technique, the acquired images have lots of artifacts caused by the shape and the condition of the engine surface and unevenness of rubbing the pencils by hand. We used the polynomial spline pyramid algorithm to acquire a training set using ART-2, which is considered a tradeoff of stability-plasticity dilemma. The experiments show an accuracy rate close to 80%.