학술논문

Shape description by UNL Fourier features-an application to handwritten character recognition
Document Type
Conference
Source
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on. :466-469 1992
Subject
Signal Processing and Analysis
Computing and Processing
Shape
Character recognition
Testing
Intelligent robots
Handwriting recognition
Polynomials
Fourier series
Fourier transforms
Error analysis
Neural networks
Language
Abstract
Handwritten characters are forms. Thus they are accessible to form description methods. The authors present a universal shape characterization method applied to the domain of off-line handwritten characters. The test universe is restricted to the ten Arabic numerals but can be extended to any other characters. The authors point out previous work in the area of 2D shape classification and handwriting recognition. The theoretical concept of the authors' shape descriptor is introduced together with a recipe to apply it in the real case of discrete binary images. Results of classification experiments are presented.ETX