The content of this article is an overview of possibilities how to achieve recognition and enforcement of judgements in member states of the EU. The article is devoted mainly to the analysis of two union tools which regulate issues of recognition and enforcement of judgements in member states of the EU in the sphere of family law. The article concentrates on process conditions, terms of proposals for recognition or enforcement as well as terms of judgements of member states courts on recognition or enforcement of a judgement which was issued in another member state.
In this paper, we describe the application of a combined neocognitron
type of the neural network classifier in a generic Car License Plate Recognition (CLPR) system. The suggested system contains an image processor, a segment processor and five conpled neocognitron network classifiers that act as a character recognizer. The presented model of the system depends neither on the specific license plate image features nor on the license plates character style and size. Combining neocognitron classifiers were motivated by the fact that manually tuning a training set for a large neocognitron network is tedious. It is shown how the training set tuning for a large neocognitron network can be avoided. By connecting srnall neocognitrons specifically trained on ambiguous character classes, the performance of the recognizer in our CLPR was improved easily. The use of a neocognitron recognizer contributes significantly to the generality of a CLPR systém. Besides, character recognition rates of 94% are realized using the proposed neocognitron.