A Survey of Elastic Matching Techniques for Handwritten Character Recognition

• UCHIDA Seiichi

  Faculty of Information Science and Electrical Engineering, Kyushu University

• SAKOE Hiroaki

  Faculty of Information Science and Electrical Engineering, Kyushu University

Abstract

This paper presents a survey of elastic matching (EM) techniques employed in handwritten character recognition. EM is often called deformable template, flexible matching, or nonlinear template matching, and defined as the optimization problem of two-dimensional warping (2DW) which specifies the pixel-to-pixel correspondence between two subjected character image patterns. The pattern distance evaluated under optimized 2DW is invariant to a certain range of geometric deformations. Thus, by using the EM distance as a discriminant function, recognition systems robust to the deformations of handwritten characters can be realized. In this paper, EM techniques are classified according to the type of 2DW and the properties of each class are outlined. Several topics around EM, such as the category-dependent deformation tendency of handwritten characters, are also discussed.

Journal

• IEICE Transactions on Inf. Syst., D

  IEICE Transactions on Inf. Syst., D 88 (8), 1781-1790, 2005-08-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• elastic matching
• handwritten character recognition
• deformation
• optimization
• survey

Details

• CRID: 1570009752557464320
• NII Article ID: 110003214378
• NII Book ID: AA10826272
• ISSN: 09168532
• Text Lang: en
• Data Source:
  • CiNii Articles