Face recognition using fusion of cartesian differential invariant and LBP
Jun Yang · Journal of Optoelectronics·laser · 2010
The performance of face recognition is seriously affected by illumination,pose,and expression.To solve this problem,a method for face features extraction and recognition is proposed based on the fusion of cartesian differential invariant(CDI) and LBP.Firstly,an irreducible Cartesian differential invariant set is obtained by combining the differential structure of the face images acquired by using Gauss differential operator.Secondly,by computing and linking all the LBP features of every item in the invariant set,the features of a face image are extracted.Finally,the classification and recognition facial image is completed by using (SVM) classifier and the extracted features.Experiments show that the LBP features based on Cartesian differential invariant has the merit of preferable invariant to face position,pose,illumination and expression variations.The method achieveds 98.5% recognition rate on ORL face database and 98.89% on Yale face database.