Nonuniform slant correction for handwritten word recognition

Eiji Taira, Seiichi Uchida, Hiroaki Sakoe

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


Slant correction is a preprocessing technique to improve segmentation and recognition accuracy for handwritten word recognition. All conventional slant correction techniques were performed by the estimation of the average slant angle and the shear transformation. In this paper, a nonuniform slant correction technique for handwritten word recognition is proposed where the slant correction problem is formulated as a global optimal estimation problem of the sequence of local slant angles. The optimal estimation is performed by a dynamic programming based algorithm. From experimental results it was shown that the present technique outperforms conventional uniform slant correction techniques.

Original languageEnglish
Pages (from-to)1247-1253
Number of pages7
JournalIEICE Transactions on Information and Systems
Issue number5
Publication statusPublished - May 2004

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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