计算机技术与发展Issue(3)：31-33,37,4.DOI:10.3969/j.issn.1673-629X.2013.03.008
结合小波插值与K-means方法提取彩色图像文字
Extraction of Color Image Texts Combining Wavelet Interpolation and K-means
摘要
Abstract
The text extraction and recognition of color images is the research focus in the field of artificial intelligence and pattern recogni-tion. In order to solve the problems of text recognition that the characters in color images are too small to see clearly and the color of the characters is similar as the complex background or the characters are arranged irregularly,use the method which combines the wavelet in-terpolation and K-means cluster to extract the color texts. First,choose the region including the color texts,then employ the wavelet inter-polation to enlarge the color image,use K-means method to cluster the color to obtain a single background image,then change this image into the binary image and segment the text. At last,the trained BP neural network is used for the character recognition. Some experiments show that this method can process the most color text extraction easily,and more efficiently for recognizing the text with the lower con-trast and complex background.关键词
文字提取与识别/小波插值/K-means方法/BP神经网络Key words
text extraction and recogntion/wavelet interpolation/K-means method/BP neural network分类
信息技术与安全科学引用本文复制引用
张凯歌,缪毅,雷建坤,彭可亮,蒋慕蓉..结合小波插值与K-means方法提取彩色图像文字[J].计算机技术与发展,2013,(3):31-33,37,4.基金项目
国家自然科学基金资助项目(11161055) （11161055）
云南省中青年学术和技术带头人项目(2008PY034) （2008PY034）
