Search Results - (( java application using algorithm ) OR ( forgery detection using algorithm ))

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  1. 1
    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi

    A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

    Published 2015
    “…A copy-move forgery detector should be able to detect forgery in a reasonable amount of time. …”
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    Thesis
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  2. 2
    Forgery detection in medical images using Complex Valued Neural Network (CVNN)

    Forgery detection in medical images using Complex Valued Neural Network (CVNN) by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M., Aburas, Abdurazzag Ali

    Published 2011
    “…This factor has hindered proper detection and treatment. A new technique for detecting forgery in medical watermarked image using CVNN is proposed in this paper. …”
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  3. 3
    A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features

    A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features by Ahmed I.T., Hammad B.T., Jamil N.

    Published 2023
    “…IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. …”
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  4. 4
    Comparison of edge detection algorithms for texture analysis on copy-move forgery detection images

    Comparison of edge detection algorithms for texture analysis on copy-move forgery detection images by Idris, Bashir, Abdullah, Lili N., Abdul Halim, Alfian, Abdullah Selimun, Mohd Taufik

    Published 2022
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  5. 5
    Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan

    Region duplication forgery detection technique based on keypoint matching / Diaa Mohammed Hassan Uliyan by Diaa , Mohammed Hassan Uliyan

    Published 2016
    “…The average detection rate of our algorithm maintained 96 % true positive rate and 7 % false positive rate which outperform several current detection methods. …”
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  6. 6
    Effective Deep Features for Image Splicing Detection

    Effective Deep Features for Image Splicing Detection by Ahmed I.T., Hammad B.T., Jamil N.

    Published 2023
    Conference Paper
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  7. 7
    Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan

    Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan by Adnan, Nurul Anis Suriana

    Published 2017
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  8. 8
    Image splicing forgery detection based on low-dimensional singular value decomposition of discrete cosine transform coefficients

    Image splicing forgery detection based on low-dimensional singular value decomposition of discrete cosine transform coefficients by Moghaddasi, Zahra, Jalab, Hamid Abdullah, Noor, Rafidah Md

    Published 2019
    “…This technique changes the content of the target image and causes variations in image features which are used to detect the forgery regions. In this study, an image splicing forgery detection method based on low-dimensional singular value decomposition of discrete cosine transform (DCT) coefficients has been presented. …”
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  9. 9
    A forensic scheme for revealing post-processed region duplication forgery in suspected images

    A forensic scheme for revealing post-processed region duplication forgery in suspected images by Uliyan, Diaa Mohammed, Fadhil Al-Husainy, Mohammed A., Altamimi, Ahmad Mousa, Jalab, Hamid Abdullah

    Published 2018
    “…In this paper, we provide an image forgery detection technique by using local interest points. …”
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  10. 10
    New Texture Descriptor Based on Modified Fractional Entropy for Digital Image Splicing Forgery Detection

    New Texture Descriptor Based on Modified Fractional Entropy for Digital Image Splicing Forgery Detection by Jalab, Hamid Abdullah, Subramaniam, Thamarai, Ibrahim, Rabha Waell, Kahtan, Hasan, Noor, Nurul Fazmidar Mohd

    Published 2019
    “…The standard image dataset CASIA v2 was used to evaluate the proposed approach. Superior detection accuracy and positive and false positive rates were achieved compared with other state-of-the-art approaches with a low-dimension of feature vectors. © 2019 by the authors.…”
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  11. 11
    New texture descriptor based on modified fractional entropy for digital image splicing forgery detection

    New texture descriptor based on modified fractional entropy for digital image splicing forgery detection by Hamid, A. Jalab, Subramaniam, Thamarai, Rabha, W. Ibrahim, Kahtan, Hasan, Nurul F., Mohd Noor

    Published 2019
    “…The standard image dataset CASIA v2 was used to evaluate the proposed approach. Superior detection accuracy and positive and false positive rates were achieved compared with other state-of-the-art approaches with a low-dimension of feature vectors.…”
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  12. 12
    Image splicing forgery approachs: A review and future direction

    Image splicing forgery approachs: A review and future direction by Ernawati, Muji, Ernawan, Ferda, Abbker, Yagoub, Fakhreldin, Mohammad Adam Ibrahim, Adi, Prajanto Wahyu

    Published 2022
    “…This paper presents existing datasets, pre-processing techniques, feature extraction techniques, and classification algorithms that have been used in image splicing. This paper suggests some recommendations for future research which focuses on image localization, pre-processing, and feature extraction to improve accuracy in detecting image splicing forgery.…”
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    Conference or Workshop Item
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  13. 13
    Image Splicing Detection With Constrained Convolutional Neural Network

    Image Splicing Detection With Constrained Convolutional Neural Network by Lee, Yang Yang

    Published 2019
    “…It is shown that CNN with constrained convolution algorithm can be used as a general image splicing detection task.…”
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  14. 14
    Web application vulnerabilities detection model

    Web application vulnerabilities detection model by Buja, Alya Geogiana, Abd. Jalil, Kamarularifin, Mohd Ali, Fakariah, Abdul Rahman, Teh Faradilla

    Published 2016
    “…The research will be carried out by using design string matching algorithm. The algorithm is used in order to match the defined criteria of each web vulnerability with the input information about web application. …”
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    Research Reports
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  15. 15
    Forgery detection algorithm based on texture features

    Forgery detection algorithm based on texture features by Ahmed I.T., Hammad B.T., Jamil N.

    Published 2023
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  16. 16
    RSA Encryption & Decryption using JAVA

    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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  17. 17
    Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network

    Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network by Olanrewaju, R. F., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M.

    Published 2011
    “…This factor has hindered proper detection and treatment. This paper proposed a distortion free algorithm based on Fast Fourier Transform and Complex Valued Neural Network (FFT-CVNN) that can be used for watermarking medical images. …”
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    Proceeding Paper
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  18. 18
    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm

    Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

    Published 2008
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  19. 19
    Provider independent cryptographic tools

    Provider independent cryptographic tools by Ibrahim, Subariah, Salleh, Mazleena, Abdul Aziz, Shah Rizan

    Published 2003
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    Monograph
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  20. 20
    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization

    An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization by Mizher, Manar Abduljabbar Ahmad, Ang, Mei Choo, Sheikh Abdullah, Siti Norul Huda, Kok, Weng Ng

    Published 2019
    “…We then evaluated the Improved AKF algorithm with the-state-of-the-art algorithms in terms of compression ratio using Paul videos and Shih-Tang dataset. …”
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