An application of the hough transform to the recognition of printed hebrew characters

摘要

This paper describes computer recognition of printed Hebrew characters, in which the Hough Transform space is used as the feature domain. The sequentially built recognition scheme has a first stage coarse classification by end points of strokes and a second stage classifier divided into two parts: in one part the decision is based on matching features in the transform space and in the other part a structural classification is applied. The method was tested on a sample set of eighteen print-simulated alphabets and a recognition rate of 99.6% was achieved. A performance comparison with two other recognition methods is also given.