Study on automatic detection and recognition algorithms for vehicles and license plates using LS-SVM

Based on pattern recognition theory and least squares support vector machine(LS-SVM) technology, automatic detection, location, segmentation and recognition of vehicles and license plates characters are discussed. A new multi-sorts classification method-binary exponent classification is proposed. By...

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Bibliographische Detailangaben

Hauptverfasser:	Guangying Ge, Xinzong Bao, Jing Ge
Format:	Tagungsbericht
Sprache:	chi ; eng
Schlagworte:	Artificial neural networks binary exponent classification Character recognition Least Squares Support Vector Machines (LS-SVM) Nickel Pattern recognition Support vector machine classification Support vector machines Vehicles Vehicles and License Plates detection and recognition
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