Ear Recognition Based on Image Force Field Transformation
Hai Jiang Zhu · Acta Automatica Sinica · 2006
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.