Katerina Blinova

Handwriting stroke extraction using a new XYTC transform

The fundamental representation of handwriting is a quasi-contiguous set of strokes. In offline settings handwriting stroke extraction is complicated by adjacent and overlapping strokes. The paper describes a reconstruction of the stroke information using a newly developed XYTC transform. This representation is very appropriate for handwriting feature extraction, stroke segmentation, underline removal, cross-out detection, and word recognition. Applications related to financial document processing are described.