Title :
Feature extraction for character recognition using Gabor-type filters implemented by cellular neural networks
Author :
Tavsanoglu, Vedat ; Saatci, Ertugrul
Author_Institution :
Sch. of Electr. Electron. & Inf. Eng., South Bank Polytech., London, UK
Abstract :
This paper proposes an approach for feature extraction using a CNN Gabor filter and an orientation map. We use a set of handwritten characters for testing the complete system. The frequency response of the CNN Gabor-type filter and the filter output are studied for different values of the filter parameters
Keywords :
cellular neural nets; feature extraction; filtering theory; handwritten character recognition; CNN Gabor filter; cellular neural networks; character recognition; feature extraction; handwritten characters; orientation map; Application software; Cellular neural networks; Character recognition; Cloning; Computer vision; Feature extraction; Feedback; Frequency response; Gabor filters; Low pass filters;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.876821
