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. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
