Title
Automatic authentication technique based on supervised ART-2 and polynomial spline pyramid algorithm
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%.
Year
DOI
Venue
2005
10.1007/11427445_35
ISNN (2)
Keywords
Field
DocType
vehicle engine,routine yearly vehicle inspection,engine surface,accuracy rate close,automatic authentication technique,acquired image,polynomial spline pyramid algorithm,stability-plasticity dilemma,identification number
Spline (mathematics),Authentication,Polynomial,Computer science,Pyramid algorithm,Rubbing,Artificial intelligence,Computer vision,Pattern recognition,Hough transform,Vehicle inspection,Pencil (mathematics),Machine learning
Conference
Volume
ISSN
ISBN
3497
0302-9743
3-540-25913-9
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Ning Chen100.34
Boqin Feng217527.31
Haixiao Wang300.34
Hao Zhang49715.19