Title :
Shape description by UNL Fourier features-an application to handwritten character recognition
Author :
Rauber, T.W. ; Steiger-Garção, A.S.
Author_Institution :
Dept. de Inf., Univ. Nova de Lisboa, Monte de Caparica, Portugal
fDate :
30 Aug-3 Sep 1992
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
Keywords :
character recognition; 2D shape classification; UNL Fourier features; classification experiments; discrete binary images; form description methods; handwritten character recognition; off-line handwritten characters; universal shape characterization method; Character recognition; Error analysis; Fourier series; Fourier transforms; Handwriting recognition; Intelligent robots; Neural networks; Polynomials; Shape; Testing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201819