Recognition of Off-Line Cursive Handwriting

An entirely novel text recognition system capable of recognizing off-line handwritten Arabic cursive text having a high variability is presented [I. S. I. Abuhaiba, Ph.D. thesis, Loughborough University, 1996]. Thinned images of strokes are converted to straight-line approximations. A straight-line...

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Bibliographic Details
Published in:	Computer vision and image understanding Vol. 71; no. 1; pp. 19 - 38
Main Authors:	Abuhaiba, I.S.I, Holt, M.J.J, Datta, S
Format:	Journal Article
Language:	English
Published:	San Diego, CA Elsevier Inc 01.07.1998 Elsevier
Subjects:	Applied sciences Approximation theory Artificial intelligence Automata. Abstract machines. Turing machines Computer science; control theory; systems Exact sciences and technology Feature extraction Fuzzy sets Image coding Learning and adaptive systems Pattern recognition systems Pattern recognition. Digital image processing. Computational geometry Problem solving Sequential machines Theoretical computing fuzzy sequential machine temporal information assignment problem handwritten cursive text off-line recognition straight line approximation token Approximation Segmentation Image processing Data acquisition Pattern recognition Experimental study Algorithm Fuzzy logic Arabic System performance Manuscript character Learning algorithm Artificial intelligence Pattern extraction
ISSN:	1077-3142, 1090-235X
Online Access:	Get full text
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