摘要: 在Fisher线性判别(FLD)中,类内离散矩阵总是奇异的。为了解决矩阵的奇异性问题,应用一种新的二维Fisher线性判别(2DFLD)直接进行矩阵投影。对于PolyU掌纹图像库,分别用PCA, PCA+FLD和2DFLD提取特征掌纹子空间,将待识别图像投影到低维子空间上,用余弦距离进行掌纹匹配。实验结果表明,与PCA相比,PCA+FLD的识别率最多提高1.18%。2DFLD识别率最高达到99.34%,比PCA+FLD提高7.61%,特征提取仅耗时0.047 s。
关键词:
Fisher线性判别,
主成分分析,
二维FLD,
掌纹识别
Abstract: In the FLD-based recognition, the within-class scatter matrix is always singular. To overcome the above problem, a new way is to directly project the image matrix based on Two-Dimensional FLD(2DFLD). In PolyU palmprint database, this paper applies PCA, PCA+FLD and 2DFLD to extract the palmprint feature subspace. The images to be recognized are projected on small dimension subspace. A classifier to palmprint match based on cosine distance is used. Experimental results show that the recognition rate of PCA+FLD is about 1.18% higher than that of PCA. Compared with PCA+FLD, this method is able to yield recognition rate as high as 99.34%, with accuracy enhanced by 7.61%, while the feature extraction time is only 0.032 s.
Key words:
Fisher Linear Discriminant(FLD),
principle component analysis,
Two-Dimensional FLD(2DFLD),
palmprint recognition
中图分类号:
郭金玉; ;苑玮琦. 基于二维Fisher线性判别的掌纹识别方法[J]. 计算机工程, 2008, 34(6): 212-213.
GUO Jin-yu; YUAN Wei-qi. Palmprint Recognition Based on Two-dimensional Fisher Linear Discriminant[J]. Computer Engineering, 2008, 34(6): 212-213.