Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999 · 13 citations · 0 references
ComputingComputer ScienceComputer VisionFeature EngineeringMachine LearningClassificationFeature ExtractionImage AnalysisImage ClassificationImage Feature EngineeringPattern RecognitionHierarchical Image ClassificationImage Feature ExtractionNeural Network ClassificationSelf-organizing MapsSelf-organizing NetworksUnsupervised Image ClassificationUnsupervised Neural LearningVisual Feature Extraction
A new method for extracting features from photographic images has been developed. The input image is through a pulse coupled neural network transformed to a set of signatures, well suited for classification by unsupervised neural networks. A strategy using multiple self-organizing feature maps in a hierarchical manner is developed. With this approach, using a certain degree of supervision, an acceptable classification is obtained when applied to test images. The method is applied to license plate recognition.