Part-based method on handwritten texts

Song Wang, Seiichi Uchida, Marcus Liwicki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


This paper reports a trial of handwritten text recognition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great robustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwritten texts whose segmentation into individual characters is very difficult by deep touching and heavy slant, the part-based method still can recognize them because it does not request segmentation results to provide their whole shapes. Experimental results using digit sequences proved this robustness.

Original languageEnglish
Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
Number of pages4
Publication statusPublished - 2012
Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
Duration: Nov 11 2012Nov 15 2012

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Other21st International Conference on Pattern Recognition, ICPR 2012

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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