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SEGMENTATION OF OFF-LINE CURSIVE HANDWRITING USING LINEAR PROGRAMMING

✍ Scribed by BERRIN YANIKOGLU; PETER A. SANDON

Publisher
Elsevier Science
Year
1998
Tongue
English
Weight
382 KB
Volume
31
Category
Article
ISSN
0031-3203

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✦ Synopsis

Segmentation of cursive words into letters has been one of the major problems in handwriting recognition. We introduce a new segmentation algorithm, guided in part by the global characteristics of the handwriting. We find the successive segmentation points by evaluating a cost function at each point along the baseline. The cost of segmenting at a point is a weighted sum of four feature values at that point. The weights of the features are determined using linear programming.

In our tests with 750 words written by 10 writers, 97% of the letter boundaries were correctly located.

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Unconstrained handwritten text recognition is one of the most difficult problems in the field of pattern recognition. Recently, a number of classifier creation and combination methods, known as ensemble methods, have been proposed in the field of machine learning. They have shown improved recognitio