Title :
Character recognition using class 2 dynamical systems
Author_Institution :
Dept. of Math. & Comput. Sci., Savannah State Coll., GA, USA
Abstract :
The author introduces the theory of pattern recognition using class 2 dynamical systems. In particular, the theory of fractal learning is considered, and fractal learning theory is applied to character recognition. Fractal image encoding, that is storing image in stable configurations of dynamical systems, is discussed. Image encoding and decoding algorithms are presented. Several types of fractal equations and their solution are also discussed. Some primary results of fractal learning are demonstrated
Keywords :
character recognition; fractals; image coding; learning (artificial intelligence); character recognition; class two dynamical systems; dynamical systems; fractal image decoding; fractal image encoding; fractal learning; Character recognition; Computer science; Educational institutions; Encoding; Equations; Fractals; Image coding; Pattern recognition; Quantization; Uncertainty;
Conference_Titel :
Uncertainty Modeling and Analysis, 1993. Proceedings., Second International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-3850-8
DOI :
10.1109/ISUMA.1993.366745
