Efficient implementation of optical scanning holography in cancelable biometrics

El‐Samie, Fathi E. Abd; Nassar, Rana M.; Safan, Mohamed A.; Abdelhamed, Mohamed A.; Khalaf, Ashraf A. M.; Banby, Ghada M. El; Zahran, O.; El-Rabaie, El-Sayed M.; Mohamed, Abdelnaser A.; El-Dokany, Ibrahim M.; Ahmed, HossamEl-din H.; El‐Khamy, Said E.; Ramadan, Noha; Soliman, Randa F.; El‐Shafai, Walid

doi:10.1364/ao.415523

Cited by 25 publications

(5 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This system achieved an EER of 0.4%. Abd El-Samie et al [13] presented a cancelable multi-biometric security system in which several biometric traits for the same person are treated to obtain a single cancelable template. Optical scanning holography is applied during the acquisition of each biometric to guarantee robustness of the system in noisy environments.…”

Section: Related Workmentioning

confidence: 99%

Cancelable template generation based on quantization concepts

2024

Opto-Electronics Review

View full text Add to dashboard Cite

The idea of cancelable biometrics is widely used nowadays for user authentication. It is based on encrypted or intentionally-distorted templates. These templates can be used for user verification, while keeping the original user biometrics safe. Multiple biometric traits can be used to enhance the security level. These traits can be merged together for cancelable template generation. In this paper, a new system for cancelable template generation is presented depending on discrete cosine transform (DCT) merging and joint photographic experts group (JPEG) compression concepts. The DCT has an energy compaction property. The low-frequency quartile in the DCT domain maintains most of the image energy. Hence, the first quartile from each of the four biometrics for the same user is kept and other quartiles are removed. All kept coefficients from the four biometric images are concatenated to formulate a single template. The JPEG compression of this single template with a high compression ratio induces some intended distortion in the template. Hence, it can be used as a cancelable template for the user acquired from his four biometric traits. It can be changed according to the arrangement of biometric quartiles and the compression ratio used. The proposed system has been tested through merging of face, palmprint, iris, and fingerprint images. It achieves a high user verification accuracy of up to 100%. It is also robust in the presence of noise.

show abstract

Section: Related Workmentioning

confidence: 99%

Cancelable template generation based on quantization concepts

2024

Opto-Electronics Review

View full text Add to dashboard Cite

show abstract

“…Euclidean distance [44] is proposed to find the best candidate match for each key point. Similar local patches are determined with minimum Euclidean distance and minimum threshold (th 1 ) [45].…”

Section: Figure 4: the Proposed Surf-based Technique For Forgery Detectionmentioning

confidence: 99%

Efficient Forgery Detection Approaches for Digital Color Images

Baumy¹,

Algarni²,

Abdalla³

et al. 2022

Computers, Materials &Amp; Continua

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…In order to become effective, each biometric template scheme must meet certain fundamental requirements for security and privacy. These are listed below [17][18][19][20]:…”

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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Efficient implementation of optical scanning holography in cancelable biometrics

Cited by 25 publications

References 47 publications

Cancelable template generation based on quantization concepts

Cancelable template generation based on quantization concepts

Efficient Forgery Detection Approaches for Digital Color Images

Optical Ciphering Scheme for Cancellable Speaker Identification System

Contact Info

Product

Resources

About