Wavelet Theory and Its Application to Pattern Recognition (Series in Machine Perception and Artificial Intelligence)

This 2nd edition is an update of the book "Wavelet Theory and Its Application to Pattern Recognition" published in 2000. Three new chapters, which are research results conducted during 2001-2008, will be added. The book consists of two parts - the first contains the basic theory of wavelet analysis and the second includes applications of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and applications of wavelet analysis to pattern recognition.

• Continuous Wavelet Transforms
• Multiresolution Analysis and Wavelet Bases
• Some Typical Wavelet Bases
• Step-Edge Detection by Wavelet Transform
• Characterization of Dirac-Edges with Quadratic Spline Wavelet Transform
• Construction of New Wavelet Function and Application to Curve Analysis
• Skeletonization of Ribbon-like Shapes with New Wavelet Function
• Feature Extraction by Wavelet Sub-Patterns and Divider Dimensions
• Document Analysis by Reference Line Detection with 2-D Wavelet Transform
• Chinese Character Processing with B-Spline Wavelet Transform
• Classifier Design Based on Orthogonal Wavelet Series