Measuring the Correlation of Personal Identity Documents in Structured Format
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.
Cite
@article{arxiv.1901.02146,
title = {Measuring the Correlation of Personal Identity Documents in Structured Format},
author = {Sachithra Dangalla and Chanaka Lakmal and Chamin Wickramarathna and Chandu Herath and Gihan Dias and Shantha Fernando},
journal= {arXiv preprint arXiv:1901.02146},
year = {2021}
}
Comments
17th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2018)