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Proceedings Paper

Character segmentation algorithm for off-line handwritten script recognition
Author(s): Nelson Hon Ching Yung; Andrew H. S. Lai; Perry Z.P. Chua
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Paper Abstract

In this paper, a new character segmentation algorithm for dealing with off-line handwritten script recognition is presented. The X-axis projection, Y-axis projection and geometric classes techniques used by the algorithm proves to be successful in segmenting normal handwriting with a success rate of 93.5%. As a result of this development, detailed understanding of geometric classes of English characters and the difficult cases in segmentation was gained. Although the algorithm works quite well with a randomly chosen sample, results of a detailed analysis may shed new light into the tuning of the algorithm especially for segmenting the identified difficult cases.

Paper Details

Date Published: 21 April 1995
PDF: 12 pages
Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206702
Show Author Affiliations
Nelson Hon Ching Yung, Univ. of Hong Kong (United States)
Andrew H. S. Lai, Univ. of Surrey (United Kingdom)
Perry Z.P. Chua, Univ. of Hong Kong (United States)

Published in SPIE Proceedings Vol. 2501:
Visual Communications and Image Processing '95
Lance T. Wu, Editor(s)

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