The study of historical documents is an important and complex branch of document analysis. Ancient manuscripts are often altered by time or environmental conditions and the availability of large data sets is not always guaranteed. In this work, we propose a new solution for the attribution of short historical documents based on both allographic and texture features. Paleographic data were used as reference during the development. Tests were conducted on Antonio Stradivari's relics, a collection of technical drawings and artifacts of the famous violin maker, currently held in "Museo del Violino" in Cremona (Italy), that contains his working notes. This data set is very complex, it contains only short writings (few text lines or words), faded or damaged areas, different supports (wood or paper), and various annotations added by the various owners of this collection during the centuries. Experimental results are promising showing an accuracy greater than 90% using short texts both as training and as target.