Complementary-reference and complementary-scene for real-time fingerprint verification using joint transform correlator

Kamal, Husain; Cherri, Abdallah K.

doi:10.1016/j.optlastec.2008.09.010

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…where denotes the correlation operation and * denotes the convolution operation. Inspired by the works of [35,36], we find that the peak value of cross-correlation affects the results of authentication. The test results are shown in Figures 5 and 6, respectively.…”

Section: Authenticationmentioning

confidence: 92%

A Multi-User Encryption and Authentication System Based on Joint Transform Correlation

Zhao

Chi

2019

Entropy

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Optical image encryption technology based on joint transform correlation (JTC) has attracted increasing attention from researchers. We propose a multi-user secure communication system based on the special properties of JTC. Multiple users utilize their own fingerprints to encrypt the plain-text in the encryption process, and each user must be first authenticated at the beginning of the decryption process. Only users with legitimate identities can perform the decryption process, whereas unauthorized users with false identities cannot, so the security of the system is greatly improved. Furthermore, we propose a multi-user double-image encryption method, which can better meet the needs of different security environments. Considering the possibility of overlapping images at the output end, we prove that a JTC-based image encryption system can avoid overlapping images at the output when the distance between the input images is 3W (W is the side length of a square image), which provides a theoretical foundation for further research. Finally, a numerical simulation demonstrates the effectiveness and feasibility of the proposed idea.Entropy 2019, 21, 850 2 of 17 Vilardy et al. analyzed JTC encryption methods and found that it is possible to significantly improve the quality of the decrypted image by introducing a simple nonlinear operation in the encrypted function that contains the joint power spectrum [13][14][15]. Moreover, the JTC system has been applied to different transformation domains, such as the fractional Fourier transform domain [16], Fresnel transform domain [17], and chaotic maps [18,19], which greatly expanded the application of JTC. As is known, cryptography and cryptanalysis are complementary to each other. Therefore, attack schemes against JTC encryption system are proposed [20][21][22][23][24][25][26]. At the same time, the researchers introduced authentication to improve the security of the system [27][28][29][30].In the JTC encryption system, the common feature is that the classified information is controlled by one user. However, in some cases, this information cannot be owned by one user alone. The classified information can be obtained only if two or more users are present simultaneously. In the current study, a multi-user encryption system is proposed based on JTC. The proposed cryptosystem is uniquely useful in practical applications such as co-signing important documents, the control of nuclear buttons, access to certain crucial information, and so on.The remainder of this paper is organized as follows. Section 2 proves the feasibility of the proposed scheme through mathematical theory and the analysis of potential risks. Multi-user double image encryption is proposed, and the position distribution of the output image is analyzed in Section 3. Simulation results are shown in Section 4. Finally, the conclusions are presented in Section 5. The Proposed CryptosystemOn he basis of JTC, the current report proposes a multi-user encryption system with fingerprint keys. Different system users utilize ...

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Section: Authenticationmentioning

confidence: 92%

A Multi-User Encryption and Authentication System Based on Joint Transform Correlation

Zhao

Chi

2019

Entropy

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“…In this regard, in the past decades, optical correlation technique has been proven to be an excellent potential scheme for targets detection and tracking applications as well as others optical information processing applications, such as in optical cryptosystems 6 – 10 In particular, the optical joint transform correlation (JTC) architecture makes pattern recognition closer to near real-time processor over the classical optical VanderLugt correlation, 11 , 12 which suffers from poor light efficiency, large correlation sidelobes, and large autocorrelation width, in addition to the need of precise alignment of the optical elements and the fabrication of complex-valued filters. Over time, developers show more interests in real-time JTC-based processors due to fast development of electrically addressed spatial light modulator (SLM).…”

Section: Introductionmentioning

confidence: 99%

Class-associative multiple target recognition for highly compressed color images in a joint transform correlator

Cherri

Nazar

2022

Opt. Eng.

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We propose a practical near real-time compression-based class-associative multiple target detection technique for color images. The size of the color images is reduced to its utmost ratio to speed up the processing time and to increase the storage capacity of the recognition system. A fringe-adjusted joint transform correlation technique is employed to successfully detect the compression-based multiple targets in colored images. In addition, to eliminate the false alarms and zero-order terms due to multiple desired and undesired objects in an input scene, we have used the shifted phase-encoded and the reference phase-encoded techniques. The performance of detecting the class-associative multiple targets for large compression ratios (up to 94%) and under strong noisy conditions (Gaussian and salt and pepper noises) is assessed through many computer simulations experiments. Furthermore, detecting small targets or even a small part of a target is presented for images occluded up to 90%.

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“…Joint transform correlator, using the optical correlation theory, has widely applied in the domain of pattern recognition because of its merits of parallel, large capacity and high-speed [1] . Recently with the stability of the joint transform correlator system, more researchers have combined the correlation method with the software program of the image to expand its application scope, which can successfully realize the varieties of stationary target recognition [2] [3] .…”

Section: Introductionmentioning

confidence: 99%

Optical correlation tracking of low contrast target based on wavelet threshold segmentation

et al. 2012

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Target tracking has a wide application in varieties of domains and has a rapid development at home and abroad, so the research on target tracking is more valuable in recent years. In this paper hybrid optoelectronic joint transform correlator (HOJTC) is implemented for tracking the target, which is considered as one of the most effective methods.But in practical application, the low contrast character of the target and the moving distortion problems between the target and the template may cause the phenomenon of low recognition ratio of HOJTC. In order to solve this problem, a kind of wavelet-based threshold segmentation method is applied to increase the contrast. Through this algorithm the histogram of the image is firstly decomposed into wavelet coefficients at every scale with wavelet basis function Sym4.And then according to segmentation norm and wavelet coefficients, the thresholds can be chosen from the reconstructed histogram. Finally use these thresholds to segment the image into ideal areas. In addition, for the moving distortion problem, taking temporal state of the target as the template can realize the template update.To prove this method, many tracking experiments of low contrast targets have been performed with optical correlation method. As an example a low contrast target "tank" (the gray contrast is less than 2%) is presented. The tracking result shows that the brightness of the correlation peaks is enhanced and the target recognition ratio is increased. The conclusion can be drawn that applying this algorithm in optical correlation method can implement the low contrast target tracking successfully and this algorithm provides an available solution to low contrast target tracking.

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Complementary-reference and complementary-scene for real-time fingerprint verification using joint transform correlator

Cited by 8 publications

References 26 publications

A Multi-User Encryption and Authentication System Based on Joint Transform Correlation

A Multi-User Encryption and Authentication System Based on Joint Transform Correlation

Class-associative multiple target recognition for highly compressed color images in a joint transform correlator

Optical correlation tracking of low contrast target based on wavelet threshold segmentation

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