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Multiresolution recognition of unconstrained handwritten numerals with wavelet transform and multilayer cluster neural network

  • Published:1996-12 Issue:12 Volume:29 Page:1953-1961
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Lee Seong-Whan,Kim Chang-Hun,Ma Hong,Tang Yuan Y.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference18 articles.

1. A theory for multiresolution signal decomposition: The wavelet representation;Mallat;IEEE Trans. Pattern Anal. Mach. Intell.,1989

2. An Introduction to Wavelets;Chui,1992

3. Zur Theorie der orthogonalen Funktionensystem;Haar;Math. Analysis,1910

4. Recognition of totally unconstrained handwritten digit by decomposition and vectorization;Nadal,1988

5. Structural classification and relaxation matching of totally unconstrained handwritten ZIP-code numbers;Lam;Pattern Recognition,1988

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1. Feature Selection based on Binary Particle Swarm Optimization and Neural Networks for Pathological Voice Detection;International Journal of Bio-Inspired Computation;2017

2. Wavelet-Based Recognition of Handwritten Characters Using Artificial Neural Network;Biometrics;2017

3. Odia character recognition: a directional review;Artificial Intelligence Review;2016-08-18

4. On-Line Handy Handwriting Chinese Characters Input for Non-Chinese Speakers Based on Wavelet Neural Network;International Journal of Pattern Recognition and Artificial Intelligence;2016-05-09

5. Wavelet-Based Recognition of Handwritten Characters Using Artificial Neural Network;Handbook of Research on Generalized and Hybrid Set Structures and Applications for Soft Computing;2016
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