DocumentCode
2976380
Title
A new feature extraction method based on Fourier transform in handwriting digits recognition
Author
Liu, Gang ; Wu, Di ; Zhang, Hong-Gang ; Guo, Jun
Author_Institution
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China
Volume
3
fYear
2002
fDate
2002
Firstpage
1227
Abstract
Fourier transform (FT) is a kind of efficient feature extraction method. In this paper, we mainly discuss the most frequently used feature extraction methods based on FT in the field of handwriting digits recognition and propose a new method, called the one dimensional FT feature extraction method based on sum and difference. We have implemented this method to off-line recognition of handwriting digits, and it has been proved by experiments that this method is effective.
Keywords
Fourier transforms; feature extraction; handwritten character recognition; hidden Markov models; Fourier transform; feature extraction; filter bank analysis; handwritten digit recognition; hidden Markov model; sum difference method; Feature extraction; Fourier transforms; Handwriting recognition; Hidden Markov models; Karhunen-Loeve transforms; Lagrangian functions; Optical character recognition software; Pattern recognition; Telecommunications; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1167396
Filename
1167396
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