Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

Algarni, Abeer D.; Banby, Ghada El; Ismail, Sahar; El‐Shafai, Walid; El‐Samie, Fathi E. Abd; Soliman, Naglaa F.

doi:10.3390/e22121361

Cited by 52 publications

(20 citation statements)

References 49 publications

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“…Similarity tools in statistics can be utilized with these techniques. Several studies have introduced a general survey [17][18][19][20][21][22][23][24][25] for different types of forgery techniques. In the copy-move technique [26][27][28][29][30][31][32][33][34], the copied parts share characteristics such as lighting conditions, background, and dynamic range with the rest of the images.…”

Section: Related Workmentioning

confidence: 99%

Efficient Forgery Detection Approaches for Digital Color Images

Baumy¹,

Algarni²,

Abdalla³

et al. 2022

Computers, Materials &Amp; Continua

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This paper is concerned with a vital topic in image processing: color image forgery detection. The development of computing capabilities has led to a breakthrough in hacking and forgery attacks on signal, image, and data communicated over networks. Hence, there is an urgent need for developing efficient image forgery detection algorithms. Two main types of forgery are considered in this paper: splicing and copy-move. Splicing is performed by inserting a part of an image into another image. On the other hand, copy-move forgery is performed by copying a part of the image into another position in the same image. The proposed approach for splicing detection is based on the assumption that illumination between the original and tampered images is different. To detect the difference between the original and tampered images, the homomorphic transform separates the illumination component from the reflectance component. The illumination histogram derivative is used for detecting the difference in illumination, and hence forgery detection is accomplished. Prior to performing the forgery detection process, some pre-processing techniques, including histogram equalization, histogram matching, high-pass filtering, homomorphic enhancement, and single image super-resolution, are introduced to reinforce the details and changes between the original and embedded sections. The proposed approach for copy-move forgery detection is performed with the Speeded Up Robust Features (SURF) algorithm, which extracts feature points and feature vectors. Searching for the copied partition is accomplished through matching with Euclidian distance and hierarchical clustering. In addition, some preprocessing methods are used with the SURF algorithm, such as histogram equalization and single-mage super-resolution. Simulation results proved the feasibility and the robustness of the pre-processing step in homomorphic detection and SURF detection algorithms for splicing and copy-move forgery detection, respectively.

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Section: Related Workmentioning

confidence: 99%

Efficient Forgery Detection Approaches for Digital Color Images

Baumy¹,

Algarni²,

Abdalla³

et al. 2022

Computers, Materials &Amp; Continua

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“…Biometrics is the oldest known document in the history of China, Egypt, and Ancient Babylon. Recently, biometric recognition systems have become a significant processing field for many applications, especially in security [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Optical Ciphering Scheme for Cancellable Speaker Identification System

El‐Shafai¹,

El-Sayed²,

Rashwan³

et al. 2023

Computer Systems Science and Engineering

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Most current security and authentication systems are based on personal biometrics. The security problem is a major issue in the field of biometric systems. This is due to the use in databases of the original biometrics. Then biometrics will forever be lost if these databases are attacked. Protecting privacy is the most important goal of cancelable biometrics. In order to protect privacy, therefore, cancelable biometrics should be non-invertible in such a way that no information can be inverted from the cancelable biometric templates stored in personal identification/verification databases. One methodology to achieve non-invertibility is the employment of non-invertible transforms. This work suggests an encryption process for cancellable speaker identification using a hybrid encryption system. This system includes the 3D Jigsaw transforms and Fractional Fourier Transform (FrFT). The proposed scheme is compared with the optical Double Random Phase Encoding (DRPE) encryption process. The evaluation of simulation results of cancellable biometrics shows that the algorithm proposed is secure, authoritative, and feasible. The encryption and cancelability effects are good and reveal good performance. Also, it introduces recommended security and robustness levels for its utilization for achieving efficient cancellable biometrics systems.

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“…4 Therefore, the ECG technology can be adopted in several applications, such as physical access control, managing medical records, commercial applications, federal applications, token-based systems, and forensic applications. [5][6][7] Most organizations aim to protect their assets by providing methods for controlling them. In this process, the right person must be identified and delegated to achieve the proper task.…”

Section: Introductionmentioning

confidence: 99%

Cancelable electrocardiogram biometric system based on chaotic encryption using three‐dimensional logistic map for biometric‐based cloud services

Eldesouky

El‐Shafai

Ahmed

et al. 2022

Security and Privacy

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Biometric features are extensively employed for security purposes, but they are vulnerable to threats and can be lost or compromised. Electrocardiogram (ECG) has been utilized as one of the most favorable biometrics. However, it contains confidential patient health information and personal identification details. Moreover, security flaws take place in hacking scenarios. Therefore, original biometrics must be secured by preventing them from being used in biometric databases. The enhanced security trend in biometric authentication is cancelable biometrics. Cancelable biometric systems can be built by generating regularly repeated distortions of biometric features to secure the sensitive data of the users. When cancelable features are disclosed, distortion parameters are modified, and new cancelable templates are generated. This paper presents a proposed cancelable ECG recognition system based on the 3D chaotic logistic map encryption, which has highly efficient random characteristics with confusion and diffusion properties. Normal and abnormal ECG signals have been used to test the proposed cancelable biometric recognition system, and good access results have been obtained. The results of the simulation indicate that the proposed system is secure, reliable, and practicable even with ECG signals for patients.

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Discrete Transforms and Matrix Rotation Based Cancelable Face and Fingerprint Recognition for Biometric Security Applications

Cited by 52 publications

References 49 publications

Efficient Forgery Detection Approaches for Digital Color Images

Efficient Forgery Detection Approaches for Digital Color Images

Optical Ciphering Scheme for Cancellable Speaker Identification System

Cancelable electrocardiogram biometric system based on chaotic encryption using three‐dimensional logistic map for biometric‐based cloud services

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