Part-Based Method on Handwritten Texts
Song Wang, Seiichi Uchida, Marcus Liwicki · 2015
This paper reports a trial of handwritten text recog-nition by a part-based method. The part-based method recognizes individual characters by their parts without considering their whole shape. This realizes great ro-bustness to severe deformations. This robustness is also effective for text recognition. Especially, for handwrit-ten 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 se-quences proved this robustness. 1.