A Chinese Minority Script Recognition Method Based on Wavelet Feature and KNN

GUO Hai; ZHAO Jing-ying; SU Fei

Chinese

您当前的位置：

首页 >

文章列表页 >

A Chinese Minority Script Recognition Method Based on Wavelet Feature and KNN

更新时间：2026-09-04

- A Chinese Minority Script Recognition Method Based on Wavelet Feature and KNN
- Vol. 27, Issue 2, Pages: 107-110(2010)
- 作者机构：
  
  大连民族学院计算机科学与工程学院,辽宁,大连,116600
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
郭海, 赵晶莹, 苏飞. 基于小波分析及KNN的民族文字分类方法[J]. 微电子学与计算机, 2010, 27(2): 107-110.

GUO Hai, ZHAO Jing-ying, SU Fei. A Chinese Minority Script Recognition Method Based on Wavelet Feature and KNN[J]. 2010, 27(2): 107-110.
郭海, 赵晶莹, 苏飞. 基于小波分析及KNN的民族文字分类方法[J]. 微电子学与计算机, 2010, 27(2): 107-110. DOI：

GUO Hai, ZHAO Jing-ying, SU Fei. A Chinese Minority Script Recognition Method Based on Wavelet Feature and KNN[J]. 2010, 27(2): 107-110. DOI：

摘要

提出一种基于小波分析的少数民族文字文字分类识别方法.该方法采用多辨识小波分解

从而获得小波能量和小波能量比例分布的特征描述

结合少数民族文字文本图片的纹理特征

选择加权KNN分类器.实验证明:该识别方法对藏文、西双版纳傣文、纳西象形文、维吾尔文、德宏傣文和彝文6种常用的少数民族文字及汉字、英语共8种文字的分类测试达到96%的识别效果.

Abstract

The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and K-Nearest Neighbour (KNN) is presented which adopts wavelet decomposition that obtains feature descriptor of wavelet energy and wavelet energy distribution proportion.Combined with the texture feature of Chinese minority scripts

radially classification in Feature-Weighted K-Nearest Neighbour (FWKNN) .Among Chinese

English and Chinese minority scripts such as Tibetan

Tai Lue

Naxi Pictographs

Uighur

Tai Le

the experimental results show the recognition rate is up to 96%.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

High gain stability high temperature operational amplifier based on reverse body bias

Steganography model guided by attention mechanism and improved dense convolution

Monte carlo analysis of V-layout trench SiC neutron detector

A review of large model development: technological evolution from BERT to Deepseek

Research on the design of blockchain-based AI-generated content traceability framework

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰