Measuring the Correlation of Personal Identity Documents in Structured Format

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 do...

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Bibliographic Details
Published in:arXiv.org 2021-11
Main Authors: Dangalla, Sachithra, Lakmal, Chanaka, Wickramarathna, Chamin, Herath, Chandu, Dias, Gihan, Fernando, Shantha
Format: Article
Language:English
Subjects:
Correlation analysis
Drivers licenses
Electronic documents
Format
Identification documents
Identity
Mathematical analysis
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1901.02146