A correspondence based approach to segmentation of cursive words

dc.contributor.author Negi, A.
dc.contributor.author Swaroop, K. S.
dc.contributor.author Agarwal, A.
dc.date.accessioned 2022-03-27T05:52:31Z
dc.date.available 2022-03-27T05:52:31Z
dc.date.issued 1995-01-01
dc.description.abstract A novel contour-based approach to off-line segmentation of cursive words is proposed. The approach avoids expensive processing such as slant correction, thinning, filtering, and regional pixel labeling. Correspondences between the maximum and minimum excursions of the handwriting image are established and categorised. Valid established correspondences additionally provide three types of useful singular features about the segmented letter shapes. These singular features of the handwriting are first defined and isolated as: Loops, ascenders and descenders. A consistent analysis of established valid correspondences gives the segmentation. Correspondences also provide stroke width estimates, character width, and slant estimates that are useful to a recognition system. Results of the proposed approach on images, with variations in slant and types of ligatures are also presented.
dc.identifier.citation Proceedings of the International Conference on Document Analysis and Recognition, ICDAR. v.2
dc.identifier.issn 15205363
dc.identifier.uri 10.1109/ICDAR.1995.602079
dc.identifier.uri http://ieeexplore.ieee.org/document/602079/
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/8536
dc.subject character recognition
dc.subject contours
dc.subject correspondences
dc.subject cursive scripts
dc.subject segmentation
dc.subject singular features of handwriting
dc.title A correspondence based approach to segmentation of cursive words
dc.type Conference Proceeding. Conference Paper
dspace.entity.type
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