基于图像力场转换的耳廓图像识别

首先讨论了耳廓识别技术的可行性、可靠性及其特点,针对耳廓识别特点提出一种基于图像力场转换的耳廓识别方法(Force-field fisher classifier).该方法通过力场图像转换提取耳廓图像特征后,采用Fisher线性判别分类识别,减小了光照变化对耳廓识别的影响.在我们选取的耳廓图像库上识别率达到了98.5%.

Ear Recognition Based on Image Force Field Transformation

Research of ear recognition technology,as well as its application,is a new subject in the field of biometrics.Earlier research has shown that human ear is one of the representa- tive human biometrics with uniqueness and stability.According to these characteristics,this paper introduces a force-field Fisher classifier(FFC)for ear recognition.The FFC method, which is robust to changes in illumination,applies the Fisher linear discriminant analysis to an augmented force-field feature vector derived from the force-field transformation of ear images.The feasibility of the new FFC method has been successfully tested for ear recogni- tion.The novel FFC method even achieves 98.5% recognition accuracy for ear images from selected database.