The segmentation of cursive handwriting: an approach based on off-line recovery of the motor-temporal information

A segmentation method that partly mimics the human cognitive-behavioral process of recovering motor-temporal information from the image of handwritten words is presented. Its main feature is that it can manipulate information regarding the curvature function of the handwritten word contour. The process makes it possible to detect lost or ambiguous parts of the image and interpret them to recover a part of the original temporal information.