Nonlinear shape normalization methods for gray-scale handwritten character recognition

Sang Yup Kim, Seong Whan Lee

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

In this paper, we propose nonlinear shape normalization methods for gray-scale handwritten characters in order to minimize the loss of information caused by binarization and compensate for the shape distortions of characters. Two-dimensional linear interpolation technique has been extended to nonlinear space and the extended interpolation technique has been adopted in the proposed methods to enhance the quality of normalized images. In order to verify the efficiency of the proposed methods, the recognition rate, the processing time and the computational complexity of the proposed algorithms have been considered. The experimental results indicate that the proposed methods are efficient not only to compensate for the shape distortions of handwritten characters but also to maintain the information of gray-scale input characters.

Original languageEnglish
Pages479-782
Number of pages304
Publication statusPublished - 1997
EventProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger
Duration: 1997 Aug 181997 Aug 20

Other

OtherProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
CityUlm, Ger
Period97/8/1897/8/20

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Kim, S. Y., & Lee, S. W. (1997). Nonlinear shape normalization methods for gray-scale handwritten character recognition. 479-782. Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, .