Feature representation: Both components of the Fourier transform vs. Hartley transform

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A new feature representation approach was proposed [1]for those cases when one or multi-dimensional Fourier trans-forms (FT) are used for pattern recognition. This approachconsists of using simultaneously two new recognition fea-tures: real and imaginary components of the FT. It wasshown [1,2] that this approach is more generic than powerspectral density (PSD) and phase spectrum approaches andprovides better recognition e5ectiveness than the PSD ap-proach, which is a particular case of the proposed approach.This is in contrast to most recognition applications, wherePSD and phase spectrum are used.
Original languageEnglish
Pages (from-to)1191-1192
Number of pages2
JournalPattern Recognition
Issue number5
Early online date17 Dec 2001
Publication statusPublished - May 2002
Externally publishedYes


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