Encryption and encoding of facial images into quick response and high
capacity color 2d code for biometric passport security system
- URL: http://arxiv.org/abs/2203.15738v1
- Date: Thu, 17 Mar 2022 05:25:39 GMT
- Title: Encryption and encoding of facial images into quick response and high
capacity color 2d code for biometric passport security system
- Authors: Ziaul Haque Choudhury
- Abstract summary: multimodal biometric, secure encrypted data and encrypted biometric encoded into the QR code-based biometric-passport authentication method is proposed.
The facial mark size recognition is initially achieved.
The encrypted biometric passport information that is publicly accessible is encoded into the QR code and inserted into the electronic passport to improve protection.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-sa/4.0/
- 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.
Related papers
- On the Security of Bitstream-level JPEG Encryption with Restart Markers [5.311735227179715]
This paper aims to evaluate the security of a bitstream-level JPEG encryption method using restart (RST) markers.
The security of the method was evaluated only with respect to the key space analysis for brute-force attacks.
In experiments, the method is confirmed to be robust against ciphertext-only attacks if parameters used for image encryption are carefully chosen.
arXiv Detail & Related papers (2024-10-09T03:50:31Z) - Multi-Layered Security System: Integrating Quantum Key Distribution with Classical Cryptography to Enhance Steganographic Security [0.0]
We present a novel cryptographic system that integrates Quantum Key Distribution (QKD) with classical encryption techniques.
Our approach leverages the E91 QKD protocol to generate a shared secret key between communicating parties.
This key is then hashed using the Secure Hash Algorithm (SHA) to provide a fixedlength, high-entropy key.
arXiv Detail & Related papers (2024-08-13T15:20:29Z) - PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via
Secure Flow [69.78820726573935]
We name it PRO-Face S, short for Privacy-preserving Reversible Obfuscation of Face images via Secure flow-based model.
In the framework, an Invertible Neural Network (INN) is utilized to process the input image along with its pre-obfuscated form, and generate the privacy protected image that visually approximates to the pre-obfuscated one.
arXiv Detail & Related papers (2023-07-18T10:55:54Z) - FarSight: A Physics-Driven Whole-Body Biometric System at Large Distance
and Altitude [67.55994773068191]
This paper presents the end-to-end design, development and evaluation of FarSight.
FarSight is an innovative software system designed for whole-body (fusion of face, gait and body shape) biometric recognition.
We test FarSight's effectiveness using the newly acquired IARPA Biometric Recognition and Identification at Altitude and Range dataset.
arXiv Detail & Related papers (2023-06-29T16:14:27Z) - RiDDLE: Reversible and Diversified De-identification with Latent
Encryptor [57.66174700276893]
This work presents RiDDLE, short for Reversible and Diversified De-identification with Latent Encryptor.
Built upon a pre-learned StyleGAN2 generator, RiDDLE manages to encrypt and decrypt the facial identity within the latent space.
arXiv Detail & Related papers (2023-03-09T11:03:52Z) - Multi-Biometric Fuzzy Vault based on Face and Fingerprints [3.6934118484548306]
fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication.
We construct a multi-biometric fuzzy vault based on face and multiple fingerprints.
arXiv Detail & Related papers (2023-01-17T13:39:12Z) - Face Presentation Attack Detection [59.05779913403134]
Face recognition technology has been widely used in daily interactive applications such as checking-in and mobile payment.
However, its vulnerability to presentation attacks (PAs) limits its reliable use in ultra-secure applicational scenarios.
arXiv Detail & Related papers (2022-12-07T14:51:17Z) - Feature Fusion Methods for Indexing and Retrieval of Biometric Data:
Application to Face Recognition with Privacy Protection [15.834050000008878]
The proposed method reduces the computational workload associated with a biometric identification transaction by 90%.
The method guarantees unlinkability, irreversibility, and renewability of the protected biometric data.
arXiv Detail & Related papers (2021-07-27T08:53:29Z) - Deep Reinforcement Learning with Label Embedding Reward for Supervised
Image Hashing [85.84690941656528]
We introduce a novel decision-making approach for deep supervised hashing.
We learn a deep Q-network with a novel label embedding reward defined by Bose-Chaudhuri-Hocquenghem codes.
Our approach outperforms state-of-the-art supervised hashing methods under various code lengths.
arXiv Detail & Related papers (2020-08-10T09:17:20Z) - Analyze and Development System with Multiple Biometric Identification [0.0]
Methods developed earlier to ensure personal the information from the thefts was not effective and safe.
Biometrics were introduced when it was needed technology for more efficient security of personal information.
In biometric authentication system, user may not remember any passwords or carry any keys.
arXiv Detail & Related papers (2020-04-10T05:08:54Z) - Towards Face Encryption by Generating Adversarial Identity Masks [53.82211571716117]
We propose a targeted identity-protection iterative method (TIP-IM) to generate adversarial identity masks.
TIP-IM provides 95%+ protection success rate against various state-of-the-art face recognition models.
arXiv Detail & Related papers (2020-03-15T12:45:10Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.