| Author Name | Affiliation | | CHEN Ning | College of Computer Science, Xi′an Polytechnic University, Xi′an 710048, China, chennvictor@gmail.com
Computer Teching and Experiment Center, Xi’an Jiaotong University, Xi’an 710049, China | | FENG Bo-qin | Computer Teching and Experiment Center, Xi’an Jiaotong University, Xi’an 710049, China | | WANG Hai-xiao | 29 Bayowski Road West Orange, NJ 07052, USA | | ZHANG Hao | Shenzhen Traffic Control Center, Shenzhen 518000, China |
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| Abstract: |
| This study introduced an automatic authentication technique for checking the genuineness of a vehicle. The rough set-based technique was used to handle the uncertainty arisen from artifacts in the acquired images imprinted on a vehicle. However, it has been proved to be NP-hard to find all reductions and the minimal reduction, and generally different heuristic algorithms were used to find a set of reductions and the Gaussian distribution was used to describe the uncertainty to achieve the minimal reduction. On the basis of inductive logic programming, the technique can distinguish between two similar images, as is superior to the conventional pattern-recognition technique being merely capable of classifier. Furthermore, it can avoid some failures of the technique based on the correlation coefficient to authenticate binary image. The experiments show an accuracy rate close to 93.2％. |
| Key words: E-government uncertainty automatic authentication rough set |
| DOI：10.11916/j.issn.1005-9113.2009.02.020 |
| Clc Number:TP391 |
| Fund: |
