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%.
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Chen, N., Feng, B., Wang, H., Zhang, H. (2005). Automatic Authentication Technique Based on Supervised ART-2 and Polynomial Spline Pyramid Algorithm. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_35
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DOI: https://doi.org/10.1007/11427445_35
Publisher Name: Springer, Berlin, Heidelberg
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