Title :
Pattern Recognition for the Letters of Dactyl Alphabet by Using a Novel Neural Network Simulator
Author :
Durackova, Daniela ; Raschman, Emil
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Bratislava
Abstract :
There are many cases, where the image processing is performed using the neural network. First, for good pattern recognition, the analysis of the suitable network model is very important. Thus, our goal in this work was to develop the simulator for the universal neural network analysis and on the base of this analysis to create the suitable neural network for the image processing. On the base of this network we have also designed some base circuits, which will be used for the future implementation of the neuron/network on the chip. The idea is to use it for more complex chip, used as the silicon retina in the future.These instructions give you basic guidelines for preparing papers for conference proceedings.
Keywords :
digital simulation; image recognition; natural languages; neural nets; dactyl alphabet letters recognition; image processing; neural network simulator; pattern recognition; Analytical models; Circuit simulation; Image analysis; Image processing; Neural networks; Neurons; Pattern analysis; Pattern recognition; Retina; Silicon;
Conference_Titel :
Computational Cybernetics, 2007. ICCC 2007. IEEE International Conference on
Conference_Location :
Gammarth
Print_ISBN :
978-1-4244-1146-7
Electronic_ISBN :
978-1-4244-1146-7
DOI :
10.1109/ICCCYB.2007.4402022