BRNO UNIVERSITY OF TECHNOLOGY FACULTY OF information TECHNOLOGY DEPARTMENT OF commemoratey SYSTEMS recursive AND MATHEMATICAL PRINCIPLES OF AUTOMATIC NUMBER PLATE cite SYSTEMS B.SC. THESIS AUTHOR ONDREJ MARTINSKY BRNO 2007 procure © 2007 Ondrej Martinsky The author is indebted to the executive program of this thesis, doc. Ing. František Zbo?il, CSc. for his great help. THIS WORK IS A PART OF THE RESEARCH invent SECURITY-ORIENTED RESEARCH IN INFORMATION TECHNOLOGY, MSM 0021630528 AT BRNO UNIVERSITY OF TECHNOLOGY license under the terms of imaginative Commons License, Attribution-NonCommercial-NoDerivs 2.5. You are let off to copy, distribute and transmit this attain under the following conditions. You must attribute the work in the manner specified by the author or licensor (but not in any bearing that suggests that they endorse you or your give of the work). You may not subprogram this work for commercial purposes. For set ahead information, plea se read the full legal code at http://creativecommons.org/licenses/by-nc-nd/2.5/legalcode ii squeeze This work deals with problematic from field of artificial erudition, work vision and neural networks in construction of an automatic round home recognition system (ANPR).

This problematic includes mathematical principles and algorithms, which attend a process of number plate detection, processes of proper characters segmentation, standardisation and recognition. take form comparatively deals with methods achieving invariance of systems towards image skew, translations and various rest conditions during the capture. guide al so contains an implementation of a demonstra! tion model, which is open to prevent these functions over a set of snapshots. Key language: shape vision, artificial intelligence, neural networks, optical character recognition, ANPR iii contents 1 Introduction 1.1 1.2 1.3 1.4 ANPR systems as a practical coating of artificial intelligence Mathematical aspects of number plate recognition...If you regard to get a full essay, order it on our website:
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