Optical machine recognition of Greek characters of any size

The authors have developed and implemented an algorithm for recognizing printed Greek letters. The scheme consists of a preprocessor for thinning and noise renewal and a classifier which differentiates each of the characters based on features such as existence of closed curve, number of intersections, number of free ends, horizontal and vertical symmetry, and existence of diagonal neighbors. An algorithm based on mathematical modeling of the characters to classify the handwritten Greek letters is also investigated. Experimental results indicate that the percentage of successful recognition is almost 100% depending on how well the characters were thinned