Automated Access Control via License Plate Recognition using Neocognitron Neural Network
Leon Rothkrantz (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
In 1979 Fukushima developed a hierarchical, multilayered neural network called Neocognitron and used it for the automatic recognition of handwritten Japanese symbols. We combined the Neocognitron classifier with a special image and segment processor and applied the system in 2001 for automatic recognition of license plates in laboratory experiments. In this paper we report about a special image acquisition module and a postprocessor. We tested the system in real life conditions in an application of automated access control.