Jul 1, 2001 · Each value in the wavelet domain represents frequency information from f(x) at a specific scale and position. The value at scale j and position ...

This paper discusses current work in applying wavelets to object and pattern recognition. Feature extraction methods and search algorithms for matching images ...

Recognition in the wavelet domain: A survey. R. R. Brooks. Pennsylvania State University. Distributed Systems Dept. Applied Research Laboratory. P.O. Box 30.

... Various types of wavelet transforms exist which can be used for feature extraction and pattern classification, and are invariant to scale or rotation.

Richard R. Brooks , Lynne L. Grewe, S. Sitharama Iyengar: Recognition in the wavelet domain: A survey. J. Electronic Imaging 10(3): 757-784 (2001).

Jul 24, 2021 · The proposed FER framework consists of three key modules, namely, face processing, feature representation using DWT and expression recognition using CNN.

This paper proposes a new principal component analysis method in the wavelet domain, which is useful for dimension reduction and feature extraction of multiple ...

Performance Evaluation of Face Recognition in the Wavelet Domain. Abstract: In recent years, many different image features have been used for face recognition.

Request PDF | On Jan 1, 2022, Pooja Sharma and others published An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain ...

In this study, we propose a novel method that generates an image using wavelet transform to extract time-frequency features of the recorded signal. Our method ...