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Character segmentation algorithm for off-line handwritten script recognition
Content Provider | Semantic Scholar |
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Author | Yung, N. H. C. Lai, Andrew H. S. Chua, Perry Z. P. |
Copyright Year | 1995 |
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. |
File Format | PDF HTM / HTML |
DOI | 10.1117/12.206702 |
Volume Number | 2501 |
Alternate Webpage(s) | http://hub.hku.hk/bitstream/10722/45974/1/1814.pdf |
Alternate Webpage(s) | https://doi.org/10.1117/12.206702 |
Journal | Other Conferences |
Language | English |
Access Restriction | Open |
Content Type | Text |
Resource Type | Article |