Application of Wavelet Packet Transform in Pattern Recognition of Near-IR Data

This is the authors' abstract. We don't add key points for this paper.

The wavelet packet transform is studied as a tool for improving pattern recognition based on near-infrared spectra. Application to the preprocessing of the spectra improves the classification when compared to using either the standard normal variate method or no pretreatment at all. Selecting features from a local discriminant basis instead of from a full decomposition does not improve the results.