Context-directed segmentation algorithm for handwritten numeral strings
dc.contributor.author | Shridhar, M. | en_US |
dc.contributor.author | Badreldin, A. | en_US |
dc.date.accessioned | 2006-04-07T19:57:12Z | |
dc.date.available | 2006-04-07T19:57:12Z | |
dc.date.issued | 1987-02 | en_US |
dc.identifier.citation | Shridhar, M, Badreldin, A (1987/02)."Context-directed segmentation algorithm for handwritten numeral strings." Image and Vision Computing 5(1): 3-9. <http://hdl.handle.net/2027.42/26810> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6V09-48TD9CK-6D/2/74bc2eb9bbf428968cd5bc2db5b16355 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/26810 | |
dc.description.abstract | A context-directed algorithm is proposed for segmenting connected numeral strings into their components. The algorithm is hierarchical (tree-like structure) in the sense that it tests various hypotheses ranging from the case where the numerals are completely isolated to that where the numerals may be connected, touching and/or existing in overlapping fields. Test results indicate that the algorithm is very effective in providing an accurate segmentation in a form suitable for further processing by a recognition algorithm. | en_US |
dc.format.extent | 1771472 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Context-directed segmentation algorithm for handwritten numeral strings | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI 48128-1491, USA | en_US |
dc.contributor.affiliationother | Instrumentation Department, General Motors Research Laboratories, Warren, MI 48090-9055, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/26810/1/0000366.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0262-8856(87)90071-0 | en_US |
dc.identifier.source | Image and Vision Computing | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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