摘要
针对文本依存的离线笔迹鉴别,提出一种基于纹理的算法.该算法采用Gabor变换对纹理进行分析,选取4个频率8个相位,通过变换,选取32维变换系数的方差作为笔迹特征,在分类时使用欧氏距离作为分类器,并且提出一种新的阈值获取方法,针对该算法进行实验得出,正确接受率为89.3%,正确拒绝率为80.0%.
This paper presents a context dependent method of off-line handwriting verification based on the texture feature. Gabor filter is used in the texture analysis to gain handwriting features. By choosing 4 frequencies and 8 directions, it will get 32 Gabor coefficients, and this paper chooses the variance of coefficients as handwriting feature. The Euclidean distance is applied as classifier, and a new technique for getting threshold value is proposed in this paper. Experimental results show that the correct acceptances rate is 89.3% and the correct rejections rate is 80.0%.
出处
《河北工业大学学报》
CAS
2007年第5期95-100,共6页
Journal of Hebei University of Technology
关键词
文本依存
纹理
笔迹鉴别
离线
特征提取
分类器
context dependent
texture
handwriting verification
off-line
feature extraction
classifier
