A content-based retrieval system can provide efficient access to the documents from the Ottoman Empire archives, which contain more than 100 million handwritten files. Experts want to archive the historical documents to be stored in digital image forms because the documents include not only text but also drawings, portraits, miniatures, signs, ink smears, etc., which might have an associated historical value. This work will help us to identify the Ottoman period calligraphies; accordingly determine its value and chronology. Here, we describe and apply a computational technique on high-resolution scanned form of the original works, specifically Ottoman art calligraphies for authentication. We show preliminary results from 9 well known Ottoman art calligraphers at various times. Since paintings have high resolution, complexity and capacity, it is not possible to process them in one block. In this paper, Wavelet Transform (WT) and Support Vector Machine (SVM) are employed in cascade form to obtain an objective approach in authentication of calligraphies, and we have succeed up to 100% percentage for classify the art works using these techniques