This paper describes an approach, called centered object integrated seg(cid:173) mentation and recognition (COISR). The application is hand-printed character recognition. One uses a backpropagation network that scans exhaus(cid:173) tively over a field of characters and is trained to recognize whether it is centered over a single character or between characters. When it is centered over a character, the net classifies the cnaracter. The approach is tested on a dataset of hand-printed digits.

This paper describes an approach, called centered object integrated segmentation and recognition (COISR).

This paper describes an approach, called centered object integrated segmentation and recognition (COISR).

This paper describes an approach, called centered object integrated segmentation andrecognition (COISR).