Optimized Two-Stage Ensemble Model for License Plate Recognition

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2018, 2018

6139914353 / 9786139914357

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This item is printed on demand - Print on Demand Titel. Neuware -Pattern recognition models play an important role in many real-world applications such as text detection and object recognition. Numerous methodologies including Computational Intelligence (CI) models have been developed in the literature to tackle image-based pattern recognition problems. Focused on CI models, this research presents efficient Particle Swarm Optimization (PSO)-based models and their application to license plate recognition. Firstly, a new Reinforcement Learning-based Memetic Particle Swarm Optimization (RLMPSO) model is introduced. Then, RLMPSO is integrated with the Fuzzy Support Vector Machine (FSVM) to formulate an efficient two-stage RLMPSO-FSVM model. Specifically, two-stage RLMPSO-FSVM comprises an ensemble of linear FSVM classifiers that are constructed using RLMPSO to perform parameter tuning, feature selection, as well as training sample selection. Finally, the proposed two-stage RLMPSO-FSVM model is applied to a real-world Malaysian vehicle license plate recognition (VLPR) task.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 132 pp. Englisch.…

Seller Inventory # 9786139914357

Title
Optimized Two-Stage Ensemble Model for License Plate Recognition
Author
Hussein Samma
Publisher
LAP LAMBERT Academic Publishing Sep 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6139914353
ISBN 13
9786139914357
Item weight
215 grams
Dimensions
220x150x9 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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