This abstract reminded me of recent work in 3d shape classification and pattern recognition:
http://www.cs.princeton.edu/~chazelle/pubs/smi01.pdf , a paper titled "Matching 3D Models with Shape Distributions, R. Osada, T. Funkhouser, B. Chazelle, D.P. Dobkin, Shape Modeling International (2002), 154-166. Also in ACM Transactions on Graphics, to appear. ".
The idea is that digital renderings such as these (pun intended) can be analyzed using bayesian statistical techniques to identify and categorize the component shapes. From a corpus of such renderings it would be possible to classify the rendered objects in an entirely objective manner.
For instance, a collection of hundreds (say) of phallanges could be classified statistically and the resultant metrics could then be combined with other data to label the classifications anthropologically.
Nor is there any reason that the technique should be limited to bones. A rigorous test of lithic toolkit classifications would be to subject them to a similar automated discriminant analysis. Ornaments, pottery and weapons come to mind as well.