In this paper, the authors propose a novel of text document authorization based on SIFT and SURF. It mainly consists of two stages enrollment and identification. In all stages SIFT (Scale Invariant Feature Transform) descriptors are extracted the Scale and Orientation (SOs) of the each sentences. At the same time SURF (Speed Up Robust Feature) will extract the Scale and Orientation (SOs) of the same word. These feature values are stored in the code book. In the identification stage SOs of input handwriting text documents are extracted and classify the document on the basis of lib SVM classifier.