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A new feature extraction method based on Fourier Transform in handwriting digits recognition

被引：0
|
作者：
Liu, G [1 ]
Wu, D [1 ]
Zhang, HG [1 ]
Guo, J [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
feature extraction; Fourier transform; SDFT; HMM; handwriting digits recognition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fourier Transform (FT) is a kind of efficient feature extraction method. In this paper, we will mainly discuss the most frequently used feature extraction methods based on IT in the field of handwriting digits recognition and propose a new method - SDFT (one dimensional FT feature extraction method based on Sum and Difference). We have implemented this method to offline recognition of handwriting digits, and it has been proved by experiments that this method is an effective way.
引用
收藏
页码：1227 / 1231
页数：5
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