# Measuring the Correlation of Personal Identity Documents in Structured Format

## TL;DR

This paper presents a technique to extract data from structured digital identity documents and compute a normalized correlation score to verify their consistency, aiming to automate validation processes.

## Contribution

The paper introduces a novel method for extracting and correlating data from structured digital identity documents to facilitate automated validation.

## Key findings

- Effective correlation score calculation demonstrated
- Supports automation of identity document validation
- Potential to reduce manual verification efforts

## 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.

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Source: https://tomesphere.com/paper/1901.02146