全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

一种手写体汉字特征提取新方法―小波变换及弹性网络技术的应用

DOI: 10.11834/jig.199807178

Keywords: 小波变换,手写体汉字识别,特征提取,弹性网络

Full-Text   Cite this paper   Add to My Lib

Abstract:

利用小波分析方法将汉字图象分解为横、撇、竖、捺4个方向的分量,然后结合弹性网络技术,提出了进行了手写体汉字特征提取的一种新方法,实验结果显示此方法是行之有效的。

References

[1]  Shunji Mori,Suen C Y, Kazuhiko Yamamoto. Historical Renew of OCR Research and development, Proceedinds of the IEEE,1992, 80(7): 1029-1058.
[2]  金连文.[D].广:华南理工大学,1996.
[3]  张青 尹俊勋.小波变换在手写体汉字识别中的应用[J].电路与系统学报,1996,(9):63-67.
[4]  李金宗.模式删导论[M].北京:高等教育出版社,1994..
[5]  Trier I D, Jain A K, Taxt T. Feature extraction methods for character recognition -a survey. Pattern Recognition, 1996, 29(4): 641-662.
[6]  Li Tze Fen, Yu hiaw Shian.Handprinted Chinese Character Recognition Using The Probability Distribution Feature. Intenational Journal of Pattern Recognition and Artificial Intelligence,.1994, 8,(5):1241-1258.
[7]  Tang Y Y, Tu L T, Li T,et M..Chinese Character Recognition with Stroke Features and Tree-structured Neural Network.Computer Processing of Chinese and Oriental Languages, 1994,8(2):17-36.
[8]  Mitsuru Ohkura, Yasuhiro Shimada, Mitsuru Shiono,et al On Discrimination of Handwritten Similar Kanji Characters. in Proceedings of Third International Conference on Document Analysis and Recognition, Canada, 1993:589-592.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133