On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
The fuzzy logic approach to the car number plate locating problem
IIS '97 Proceedings of the 1997 IASTED International Conference on Intelligent Information Systems (IIS '97)
Adaptive Car Plate Recognition in QoS-Aware Security Network
SSIRI '08 Proceedings of the 2008 Second International Conference on Secure System Integration and Reliability Improvement
License Plate Recognition Based on Genetic Algorithm
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Implicit fitness sharing for evolutionary synthesis of license plate detectors
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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This paper describes an evolutionary algorithm applied to tuning of parameters of license plate detection systems. We consider both simple and compound detection systems, where the latter ones consist of multiple simple systems fused by some aggregation operation (weighted sum or ordered weighted average). With the structure of a system given by a human and fixed, we perform an evolutionary search in the space of possible parameter combinations. Several simple and compound structures are considered and verified experimentally on frame collections taken from highly heterogeneous video sequences acquired in varying conditions. The obtained results demonstrate that all considered systems can be effectively tuned using evolutionary algorithm, and that compound systems can outperform the simple ones.