Academic Journals Database
Disseminating quality controlled scientific knowledge

One solution to recognition of artistic pictures for guide robots by using artificial neural networks

Author(s): Lukić Luka

Journal: Serbian Journal of Electrical Engineering
ISSN 1451-4869

Volume: 6;
Issue: 3;
Start page: 507;
Date: 2009;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: artistic pictures | guide robot | recognition | classification | museum | artificial neural networks

In this paper is presented one solution to efficient, robust and cheap recognition of artistic pictures on the walls of museums and exhibit halls that reveals satisfactory measure of universality in order to be applied in the areas of trade, process industry, quality control, etc. This solution can be used in a wide range of applications where there is a demand of classifying objects on basis of their visual properties in a large number of existing classes. Here is proposed a method of selective grouping of pattern vectors as training sets for classifiers (artificial neural networks in this case), providing a smaller number of hidden layers in networks, achieving more precise performances and significantly expanding a number of classes to be classified. Selection approach is used in the very classification as well - neural networks are fed with input pattern vectors chosen from subsets determined by additional coefficients. .
Save time & money - Smart Internet Solutions      Why do you need a reservation system?