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- W2892656685 abstract "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." @default.
- W2892656685 created "2018-10-05" @default.
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- W2892656685 date "2018-06-01" @default.
- W2892656685 modified "2023-09-23" @default.
- W2892656685 title "Measuring the Correlation of Personal Identity Documents in Structured Format" @default.
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- W2892656685 doi "https://doi.org/10.1109/icis.2018.8466498" @default.
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