A structural/statistical feature based vector for handwritten character recognition

This paper describes the application of structural features to the statistical recognition of handwritten characters. It has been demonstrated that a complete description of the characters, based on the combination of seven different families of features, can be achieved and that the same general-purpose structural/statistical feature based vector thus defined proves efficient and robust on different categories of handwritten characters such as digits, uppercase letters and graphemes. (C) 1998 Elsevier Science B.V. All rights reserved.