Title :
A mathematical modeling approach to size invariant Greek character recognition
Author :
Alvertos, Nicolas ; D´Cunha, Ivan
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA
Abstract :
A new approach to the automatic machine recognition of Greek characters of any size and font is presented. Unlike most of the traditional methods, which are based on syntactic schemes, this method utilizes the topological characteristics of the characters to achieve recognition. Each character is individually modeled to a standard geometrical shape, and the least mean square method is used to form the best fit. Sample characters like alpha, beta, gamma, omega, theta, omicron, and rho have been successfully modeled with standard geometrical shapes, such as circles, lemniscates, cardioids, ellipses, and lines. An alternate approach to the automatic and reliable recognition of handwritten and printed Greek characters is also discussed
Keywords :
character recognition; least squares approximations; topology; Greek character recognition; automatic machine recognition; geometrical shape; least mean square; mathematical modeling; syntactic schemes; topological characteristics; Business; Character recognition; Feature extraction; Handwriting recognition; Least mean squares methods; Mathematical model; Natural languages; Piecewise linear approximation; Shape; Solid modeling;
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-2038-2
DOI :
10.1109/SSST.1990.138105