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Related Concept Videos

Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
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Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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Updated: Jan 30, 2026

Confocal Imaging of Double-Stranded RNA and Pattern Recognition Receptors in Negative-Sense RNA Virus Infection
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Double random phase encoding for cancelable face and iris recognition.

Randa F Soliman, Ghada M El Banby, Abeer D Algarni

    Applied Optics
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    Summary
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    New cancelable biometric systems using optical double random phase encoding (DRPE) enhance security. This approach protects original biometric data by creating transformed templates for face and iris recognition, improving privacy and system resilience against hacking.

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    Iris Fixation via External Pentagram Suturing
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    Area of Science:

    • Computer Science
    • Biometrics
    • Cryptography

    Background:

    • Modern security systems heavily rely on biometrics, but these are vulnerable to hacking, leading to permanent loss of biometric data.
    • Existing biometric systems lack robust mechanisms to protect original templates if databases are compromised.
    • There is a critical need for secure, cancelable biometric solutions that safeguard sensitive personal information.

    Purpose of the Study:

    • To propose and evaluate novel cancelable biometric recognition systems for face and iris using optical double random phase encoding (DRPE).
    • To enhance user privacy and system security by transforming original biometric templates through one-way encryption.
    • To demonstrate the effectiveness of the proposed schemes in maintaining recognition accuracy under noisy conditions.

    Main Methods:

    • Utilized the optical double random phase encoding (DRPE) algorithm for encrypting biometric templates.
    • Implemented a cancelable face recognition scheme employing Scale Invariant Feature Transform (SIFT) for feature extraction, followed by DRPE encryption.
    • Developed a cancelable iris recognition system that fuses features from two iris images, encrypting one set with DRPE using the other for the second phase mask.

    Main Results:

    • The proposed cancelable face and iris recognition schemes demonstrated good performance in simulations.
    • The cancelable face recognition scheme showed particular resilience and effectiveness, even when subjected to noise.
    • The iris recognition method achieved feature fusion, enhancing user privacy and creating a unique cancelable iris code.

    Conclusions:

    • The optical DRPE algorithm is a viable method for creating secure and cancelable biometric systems for both face and iris recognition.
    • The proposed schemes offer a robust solution to the permanent loss of biometric data in case of database breaches.
    • The developed systems provide enhanced security and privacy for biometric authentication, particularly the novel approach for iris recognition.