Off-line Recognition of Bad Quality Handwritten Words Using Prototypes

This paper consists of three related parts. First, results of experiments on human perception which demonstrate potentials of text recognition are presented. Second, a representation technique for handwritten words is described which allows to construct word prototypes and apply them for recognition of bad quality words. Third, integration of information from multiple sources in word recognition and sentence recognition tasks is discussed. Results of experiments with cursive words and cheque amounts are also presented.