  Personal identity documents play a major role in every citizen's life and the
authorities responsible for validating them typically require human
intervention to manually cross-check multiple documents belonging to an
individual. The world is rapidly replacing physical documents with digital
documents where every piece of data is stored digitally in a machine-readable
and structured format. In this paper, we describe a technique to extract
identity data from a structured data format and calculate a normalized
correlation score for personal identity documents. Experimental results show
that the proposed technique effectively calculates the correlation score for
personal identity documents.
