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Journal ArticleDOI

Invariant Fourier-wavelet descriptor for pattern recognition

Guangyi Chen, +1 more
- 01 Jul 1999 - 
- Vol. 32, Iss: 7, pp 1083-1088
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TLDR
The result shows that the Fourier-wavelet descriptor is an efficient representation which can provide for reliable recognition of complex patterns such as roadsigns, keys, aircrafts, characters, etc.
About
This article is published in Pattern Recognition.The article was published on 1999-07-01. It has received 125 citations till now. The article focuses on the topics: Wavelet transform & Wavelet.

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Citations
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Book ChapterDOI

A Survey of Shape Feature Extraction Techniques

TL;DR: Content-based image retrieval (CBIR), emerged as a promising mean for retrieving images and browsing large images databases and is the process of retrieving images from a collection based on automatically extracted features.
Journal ArticleDOI

Short communication: Automatic EEG seizure detection using dual-tree complex wavelet-Fourier features

TL;DR: A new Electroencephalography (EEG) seizure detection method by using the dual-tree complex wavelet (DTCWT) - Fourier features, which achieve perfect classification rates (100%) for the EEG database from the University of Bonn.
Journal ArticleDOI

Pattern recognition with SVM and dual-tree complex wavelets

TL;DR: It is found that the dual-tree complex wavelets are always better than the scalar wavelet for pattern recognition when SVM is used, and among many frequently used SVM kernels, the Gaussian radial basis function kernel and the wavelet kernel are the best forpattern recognition applications.
Journal ArticleDOI

Classifying organic crystals via in-process image analysis and the use of monitoring charts to follow polymorphic and morphological changes

TL;DR: In this paper, a method for real-time classification of crystal polymorphic and morphological forms based on on-line imaging and image analysis is presented, based on experimental results of crystallisation in a batch reactor of (L )-glutamic acid that has two polymorphs, the prismatic alpha and needle-shaped beta forms.
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Retrieval and classification of shape-based objects using Fourier, generic Fourier, and wavelet-Fourier descriptors technique: A comparative study

TL;DR: It was observed that WFD performs better than FD and GFD technique, and the effect of the noise on the retrieval and classification of shapes of different objects, additive and multiplicative noise of various variances were applied.
References
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Journal ArticleDOI

Orthonormal bases of compactly supported wavelets

TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
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Ten Lectures on Wavelets.

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Fourier Descriptors for Plane Closed Curves

TL;DR: It is established that the Fourier series expansion is optimal and unique with respect to obtaining coefficients insensitive to starting point and the amplitudes are pure form invariants as well as are certain simple functions of phase angles.
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Feature extraction methods for character recognition--a survey

TL;DR: This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) characters in terms of invariance properties, reconstructability and expected distortions and variability of the characters.
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Shape Discrimination Using Fourier Descriptors

TL;DR: A critical review is given of two kinds of Fourier descriptors and a distance measure is proposed, in terms of FD's, that measures the difference between two boundarv curves.