Fourier and wavelet descriptors for shape recognition using neural networks -- a comparative study

DOI10.1016/S0031-3203(01)00153-4zbMath1006.68864OpenAlexW2002126584MaRDI QIDQ1860142

Do Dinh Nghia, Stanisław Osowski

Publication date: 20 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00153-4

zbMATH Keywords

neural networksshape recognitionFourier and wavelet descriptors

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (5)

A constructive theory of shape ⋮ Neural network interpolation operators optimized by Lagrange polynomial ⋮ A complex network-based approach for boundary shape analysis ⋮ Shape optimization for path synthesis of Crank-Rocker mechanisms using a wavelet-based neural network ⋮ Content-based image retrieval using shape features indexed by compact R-trees

Uses Software

• Uvi_Wave

Cites Work

• Ten Lectures on Wavelets
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