Accuracy improvement of character recognition by hexagonal zoning

Wataru Ohyama, Akihito Yamamoto, Tetsushi Wakabayashi, Fumitaka Kimura

Research output: Contribution to journalArticlepeer-review


Accurate off-line character recognition is still very important for camera based printed document analysis. Due to its inherent conceptual and technical simplicity, conventional recognition strategies relied on features extracted using square block zoning of a character image. In this paper, we propose an isotropic feature extraction method using regular hexagonal zoning and empirically confirm its effectiveness for printed and handwritten character recognition. We accomplished printed character recognition and handwritten character recognition experiments using large-scale evaluating datasets. The average accuracy was improved by 2% in experiments using gradient features. And the effectiveness of hexagonal zoning for recognition of high stroke count characters and low-resolution characters is confirmed in both printed and handwritten character recognition by the experiments.

Original languageEnglish
Pages (from-to)1824-1831
Number of pages8
JournalIEEJ Transactions on Electronics, Information and Systems
Issue number12
Publication statusPublished - 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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