Encryption and encoding of facial images into quick response and high capacity color 2d code for biometric passport security system

TL;DR

This paper proposes a secure biometric passport system that encrypts facial and hand biometric data, encodes it into QR codes, and uses advanced image processing and encryption techniques to enhance national security authentication.

Contribution

It introduces a multimodal biometric authentication method combining facial and hand recognition with encrypted QR code encoding for passports.

Findings

Facial recognition achieved using EP-LBP, Canny, and SIFT algorithms.

Hand geometry recognition using ASM and AAM models.

Encrypted biometric data encoded into QR codes for passport security.

Abstract

In this thesis, a multimodal biometric, secure encrypted data and encrypted biometric encoded into the QR code-based biometric-passport authentication method is proposed for national security applications. Firstly, using the Extended Profile - Local Binary Patterns (EP-LBP), a Canny edge detector, and the Scale Invariant Feature Transform (SIFT) algorithm with Image File Information (IMFINFO) process, the facial mark size recognition is initially achieved. Secondly, by using the Active Shape Model (ASM) into Active Appearance Model (AAM) to follow the hand and infusion the hand geometry characteristics for verification and identification, hand geometry recognition is achieved. Thirdly, the encrypted biometric passport information that is publicly accessible is encoded into the QR code and inserted into the electronic passport to improve protection. Further, Personal information and biometric data are encrypted by applying the Advanced Encryption Standard (AES) and the Secure Hash Algorithm (SHA) 256 algorithm. It will enhance the biometric passport security system.