Cursive character recognition - a character segmentation method using projection profile-based technique

摘要

This paper reports the results of a study on a first sight decision tree algorithm for cursive script recognition based on the use of histogram as a projection profile technique. A postal code image data scanned is converted in a 2-dimension matrix representation to be used with a set of algorithms to provide full range segmentation. The results, based on this approach, are quite satisfactory for first stage classifier.