Optical image encryption using optical scanning and fingerprint keys

Yan, Aimin; Poon, Ting‐Chung; Hu, Zhijuan; Zhang, Jingtao

doi:10.1080/09500340.2016.1206981

Cited by 17 publications

(13 citation statements)

References 22 publications

(21 reference statements)

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“…This threshold value is utilized to decide if the input tested user is an authorized or unauthorized user. From the introduced PFD, PTD, and ROC results of the six examined and tested biometric cases, it is noticed that the suggested algorithm is advised and recommended for effective cancelable template recognition systems contrasted to the traditional optical OSH and DRPE encryption algorithms [22,23,25,37]. Therefore, the proposed cancelable recognition system based on an optical PTFT encryption algorithm can efficiently classify authorized and unauthorized users better than the related optical encryption algorithms.…”

Section: B Pfd Ptd and Roc Analysismentioning

confidence: 99%

“…Content may change prior to final publication. applications such as 3D image recognition, scanning holographic microscopy, and cryptography systems [22,23]. The optical scanning holography involves the principle of optical heterodyne scanning.…”

Section: B Basics Of the Osh Encryption Algorithmmentioning

confidence: 99%

“…In this section, the objective is to justify and investigate the encryption effectiveness of the suggested optical PTFT cryptography algorithm. [22,23] This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ This article has been accepted for publication in a future issue of this journal, but has not been fully edited.…”

Section: A Visual Encryption Analysismentioning

confidence: 99%

“…The evaluation histogram distributions metric is utilized in assessing the strength of the cryptography technique to statistical assaults and attacks [24]. Figures 24 -29 show the results of histograms of the original biometrics and the encrypted biometrics for the suggested algorithm contrasted to the literature optical OSH and DRPE encryption algorithms [22,23,25,37] of the whole tested biometric datasets. From the examined histograms, it is noticed that the suggested optical encryption algorithm and the literature optical encryption algorithms present different distributions for the encrypted biometric histograms from the original biometric histograms for the whole examined images.…”

Section: Histogram Analysismentioning

confidence: 99%

“…Also, one of the potential keys to construct cancelable biometric frameworks is the utilization of cryptography algorithms. Consequently, the main features in a biometric template could be hidden, secured, and encrypted using secret keys generated from any employed cryptography scheme like optical encryption schemes that have superior advantages and merits in enormous security applications [22,23]. The technology of information and data processing in the optical domain has ingrained multidimensionality and the capability of high-speed parallel processing [24,25].…”

Section: Introductionmentioning

confidence: 99%

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Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System

et al. 2020

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Recently, biometric systems are extensively and commonly utilized for authentication and verification applications. The security issue and the dependence on a specific biometric for the biometric verification process are the main challenges confronted in biometric systems. The security issue comes due to the exploitation of the original biometrics in stored servers. Therefore, if any attacks have been introduced to the stored biometrics, they will be missed indefinitely. Consequently, the stored original biometrics must be secured through maintaining and storing these templates away from exploitation in their servers. So, there is a need for designing a cancelable biometric recognition system (CBRS) that is a promising protection trend in biometric verification and authentication fields. The CBRS is based on the conversion of biometric data or its features to a different arrangement. In this paper, a novel CBRS based on the suggested optical PTFT (Phase Truncated Fourier Transform) asymmetric encryption algorithm is introduced. In the proposed algorithm, two different distributions of phases in the output and Fourier planes are maintained as deciphering keys, and thus, the encryption keys will not be utilized for the decryption process. This leads to the advantage that the two ciphering keys may be utilized as public secret keys to encrypt distinct biometric images. Consequently, the suggested PTFT cryptosystem is an asymmetric encryption/decryption technique compared to the preceding related optical encryption techniques that are symmetric techniques such as Optical Scanning Holography (OSH) and Double Random Phase Encoding (DRPE). The suggested PTFT asymmetric encryption algorithm also has a wonderful practical performance in security applications. One of the main contributions of the proposed optical PTFT asymmetric encryption algorithm is that it removes the linearity features of the optical OSH and DRPE symmetric encryption algorithms through its great features of the phase truncation nonlinear operation. Subsequently, this produces an encrypted biometric template with two public keys, and the authenticated user can retrieve the original biometric template utilizing two private keys with achieving a high security and cancelability performance for the stored biometrics. To confirm the efficacy of the suggested optical encryption algorithm for developing a secure CBRS, various biometric datasets of face, ear, palmprint, fingerprint, and iris images are examined and analyzed. Extensive comparative analyses are performed amongst the suggested algorithm and the optical OSH and DRPE encryption algorithms. The experimental outcomes achieved for performance quality assessment assure that the suggested CBRS is reliable, robust, and realistic. It has great security and cancelability proficiency that expose excellent cancelable biometric recognition performance even in the existence of noise. Moreover, the performed experiments declare that the suggested CBRS guarantee an average FRR (False Reject Rate) of 0.0012, EER ...

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Section: B Pfd Ptd and Roc Analysismentioning

confidence: 99%

Section: B Basics Of the Osh Encryption Algorithmmentioning

confidence: 99%

Section: A Visual Encryption Analysismentioning

confidence: 99%