DocumentCode
3059010
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
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
466
Lastpage
469
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.201819
Filename
201819
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