摘要
针对人耳图像自身的特点,并通过对现有生物识别技术的研究,本文尝试采用了一种基于核函数的Fisher判别分析算法对人耳进行识别。该算法不仅可以有效地提取人耳特征,获得较高的识别率;而且还可以解决因为光照和人耳旋转角度等因素带来的非线性问题。实验表明:采用基于径向基核函数的Fisher判别分析算法对人耳图像进行识别,其识别率最高,为98.701%。
According to the characteristic of ear image and the study of the existing biometrics recognition technology, we try to use a Fisher discriminant analysis algorithm based on kernel function for ear recognition in this paper. The algorithm can not only extract ear feature effectively and achieve a high recognition rate, but also resolve the nonlinear issue caused by lighting variation and pose variation etc. The experiment shows that it achieves the highest recognition rate of 98.701% when using Fisher discriminant analysis algorithm based on RBF kernel function to recognize the ear image.
出处
《微计算机信息》
北大核心
2006年第08S期304-306,共3页
Control & Automation
基金
国家自然科学基金资助项目(60375002)
