The FDR-LBP (Principal Direction Rotation Local Binary Pattern) features are presented to describe rotation face in image plane.We add rotation offset value for forming rotation LBP features based on arbitrary neighborhood LBP feature and then train a rotation face classifier by Adaboost algorithm.We use the classifier to detect the region of rotation face and then verify the result.A new principal direction algorithm is presented for calculating the angle of face rotation

with the angle to normalize the rotation face.The experiment results indicate that the new method can detect faces under all degree rotation in image plane with high speed

the detection rate is 94% and the normalization difference is below 6 degree.It can satisfy face detection system requirements of all degree rotation detection

with high detection rate and low normalization difference.