Eigen-deformations for elastic matching based handwritten character recognition

Seiichi Uchida, Hiroaki Sakoe

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Deformations in handwritten characters have category-dependent tendencies. In this paper, the estimation and the utilization of such tendencies called eigen-deformations are investigated for the better performance of elastic matching based handwritten character recognition. The eigen-deformations are estimated by the principal component analysis of actual deformations automatically collected by the elastic matching. From experimental results it was shown that typical deformations of each category can be extracted as the eigen-deformations. It was also shown that the recognition performance can be improved significantly by using the eigen-deformations for the detection of overfitting, which is the main cause of the misrecognition in the elastic matching based recognition methods.

Original languageEnglish
Pages (from-to)2031-2040
Number of pages10
JournalPattern Recognition
Volume36
Issue number9
DOIs
Publication statusPublished - Sep 2003

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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