Classification of planar curve using the zero-crossings representation of wavelet transform

Dodi Sudiana, Nozomu Hamada

Research output: Contribution to journalArticlepeer-review

Abstract

A method of planar curve classification, which is invariant to rotation, scaling and translation using the zero-crossings representation of wavelet transform was introduced. The description of the object is represented by taking a ratio between its two adjacent boundary points so it is invariant to object rotation, translation and size. Transforming this signal to zero-crossings representation using wavelet transform, the minimum distance between the object and model while shifting the signals each other, can be used as classification parameter.

Original languageEnglish
Pages (from-to)775-777
Number of pages3
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE80-A
Issue number4
Publication statusPublished - 1 Jan 1997

Keywords

  • Pattern recognition
  • Planar curve
  • Wavelet transform
  • Zero-crossings

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