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Linking Broken Character Borders with Variable Sized Masks to Improve Recognition

, and . 29 (8): 1429--1435 (August 1996)
DOI: 10.1016/0031-3203(95)00171-9

Abstract

A novel border-following algorithm is used to reconstruct the borders and missing links of noisy and broken handwritten digits. When combined with a suitable rejection threshold, improved performance from handwritten character classifiers is achieved. Experimental results are given which show the effectiveness of the method, raising recognition rates by an additional 5% for handwritten digits in the presence of gaps and noise.

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