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What is Correlation of Personal Identity Documents about?

This paper proposes a technique to calculate a normalized correlation score for personal identity documents stored in a structured digital format. The technique extracts identity data like name, date of birth etc. based on attribute names and calculates a correlation score using similarity measures like Levenshtein distance and Soundex. Experimental results show the technique can effectively calculate correlation scores to determine if multiple identity documents belong to the same person.

Author

Max Flax

Language

EN