## 3 Results  
Concerning the cuneiform tablet MAT 689, the MSII filter was adopted in two ways: first with 13 feature vector elements (FVEs) and an inverted colour ramp, and then with 5 feature vector elements and a normal colour ramp (Figure 10).  
Through this process, the seal impressions in the background could be visualized in different ways by enhancing details on the surface layers. This analysis, via MSII filter, was fundamental for enhancing and revealing unperceived features that lay below the inscribed cuneiform signs. Other filtering processes, such as ambient occlusion and radiance scaling, did not permit such a detailed analysis of the sealings.  
Although the sealings on the obverse and reverse were previously visualized and documented by [PERSON] [12], our post-processing analysis revealed an additional complete seal impression on the edge of the tablet. [PERSON] was probably unable to see and analyse this important detail revealed by the MSII filter, and his drawing of the figurative apparatus of the sealing lacks the details on the edge. The analysis proposed herein constitutes an updated and integrative version of the [PERSON] drawing (Figure 10).  
Post-processing work allows for a clearer reading of the scene engraved on the Lu-Haya seal that was impressed on the tablet MAT 689. A god sits on a two-niched throne, and the god's raised left arm and an astral symbol, undetectable by the naked eye, are now visible. In addition, the post-processed images clearly show that the figure on the left, who is being introduced to the god, is raising both of his arms (Figure 11).  
The clay tablet MAT 655 underwent the same post-processing analysis. Filtering the 3D model recovered all micrometric details from surfaces. In fact, the MSII filter was fundamental for boosting the fingerprint grooves and providing a clear vision of all the evidence (Figure 12). This post-processing analysis was designed to set up the MSII 3 feature vector and 13 FVEs. During this analysis, the fingerprint grooves were measured: the average distance between grooves was 0.7 mm, while the depth of a single groove was 0.09 mm.  
Figure 10: Three-dimensional model of tablet MAT 689: (**a**) scan colour; (**b**) MSII FVEs 13 inverted; (**c**) MSII FVEs 5 normal.  
The image of the scribe's fingerprint provides a wider perspective on the life of the tablet and establishes a connection with the humans who made these objects. Scanning the entire corpus of the Turin tablets for fingerprints will aid us in distinguishing between the individual scribes who wrote the tablets, even when their names are not recorded in the texts.  
As with the tablets analysed previously, the features of the envelope (MAT 740) were first investigated using the light manipulation tool to identify seal impressions and fingerprints, which were enhanced during the MSII analyses. The MSII filter for extracting surface contour features of impressions based on different depth levels was used.  
The MSII process, using various analyses of feature vector elements, was fundamental for detecting fingerprint evidence on the edge of the inner tablet--a distinctive feature related to the scribe who made the envelope (Figure 13). The interior of the envelope shows traces in negative form of the signs written on the outside of the envelope, as well as chaotic fingerprint impressions (Figure 14).  
Figure 11: Three-dimensional model of the tablet MAT 689 and sealing analysis: comparison of the original [PERSON] drawing and the version obtained via MSII analysis.  
Figure 12: Tablet MAT 655: fingerprint evidence on 3D model acquired via MSII filter (feature vector 3; feature vector elements 13).