Application of Artificial Neural Networks for the Recognition of Car Number Plates
The problem of recognition of car number plates by artifitial neural networks is studied. The recognition system being created and consisting of personal computer with WEB camera and special software is presented. The composition of the recognition software module (preprocessing, extraction of the image of car number plate, image segmentation, recognition of individual symbols blocks) is briefly discussed. By the presentation of structures and training rules an analysis of Kohonen Maps and Multilayer Perceptrons for the symbol recognition is done. Results of experiments from the recognition of numerals from car number plates are provided. The estimation of the size of networks, parameters involved in their training rules is done. Ill. 4, bibl. 7 (in Lithuanian; summaries in Lithuanian, English, Russian).
How to Cite
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.