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Segmentation of off-line cursive handwriting using linear programming
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DOI：10.1016/S0031-3203(98)00081-8.png)
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Abstract
En 中文
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. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. AII rights reserved.
Keywords:
off-line cursive handwriting
segmentation
recognition OCR
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