International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 4
July-August 2026

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A Hybrid Rule-Based and AI-Driven Framework for Multi-Document Identity Verification Using OCR, Entity Matching, and Cross-Document Consistency Analysis

Author(s) Mr. Nasim Waris
Country India
Abstract Digital identity verification is an integral part of authentication processes within banking, healthcare, e-governance, and various other digital platforms. Traditional methods of verification mostly authenticate individuals based on individual documents and are unable to detect any inconsistencies in their identity data contained in multiple documents. This results in a number of security issues, including identity fraud, forged identity documents, and false verification. In order to solve these problems, this study presents the design of the Hybrid Rule-Based and AI-Driven Multi-Document Identity Verification Framework. This framework utilizes the following mechanisms: OCR, NER, verification of consistency across multiple documents, fraud detection, and generating of the trust-score. Extraction of identity-related information from Aadhaar Cards, PAN Cards, passports, and driving licenses is done using OCR algorithms. Rule-based verification of document format and required information is performed. NER is implemented for extracting the names, date of birth, address, and identification numbers of individuals. Matching of similarities and conducting semantic analysis help verify identities across several documents. AI-powered fraud detection algorithm detects suspicious and tampered documents. Experimental results demonstrate high accuracy of the framework (accuracy = 98.1%).
Keywords Identity Verification, OCR, Named Entity Recognition, Cross-Document Consistency Analysis, Fraud Detection, Artificial Intelligence, Trust Score Generation, Document Authentication.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 4, July-August 2026
Published On 2026-07-04
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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