Character segmentation algorithm for off-line handwritten script recognition

Nelson Hon Ching Yung; Andrew H. S. Lai; Perry Z.P. Chua

doi:10.1117/12.206702

21 April 1995 Character segmentation algorithm for off-line handwritten script recognition

Nelson Hon Ching Yung, Andrew H. S. Lai, Perry Z.P. Chua

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206702
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

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.

Citation Download Citation

Nelson Hon Ching Yung, Andrew H. S. Lai, and Perry Z.P. Chua "Character segmentation algorithm for off-line handwritten script recognition", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206702

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