Ear Recognition Based on ICA and BDTSVM
Jian He · Journal of Yangzhou Polytechnic College · 2008
This paper puts forward an ear recognition model integrating ICA with binary decisive tree SVM.In this model,independent component analysis(ICA) which considers the high-level statistics and obtains the inner characteristic images,is applied to extract ear feature at first,and then the ear image is classified and recognized by adopting the classifying machine of binary decisive tree support vector machines(BDTSVM).This model can reduce the difficulty of classification and get better identification rates.