Extraction of specified objects from binary images using object based erosion transform: application to Hebrew calligraphic manuscripts

This paper presents a method for automatic extraction of certain pre-specified objects from binary images. The method is applied to letters from historic Hebrew manuscripts and is based on object based erosion transform. The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles. An average correct extraction rate of 96% is achieved.