Title :
Handwriting stroke extraction using a new XYTC transform
Author :
Houle, Gilles F. ; Blinova, Katerina ; Shridhar, M.
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
document image processing; feature extraction; handwritten character recognition; image segmentation; transforms; XYTC Transform; adjacent strokes; cross-out detection; financial document processing; handwriting feature extraction; handwriting stroke extraction; overlapping strokes; stroke information; stroke segmentation; underline removal; word recognition; Character recognition; Data mining; Feature extraction; Handwriting recognition; Histograms; Image reconstruction; Image segmentation; Law; Legal factors; Skeleton;
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
DOI :
10.1109/ICDAR.2001.953761
