Document Alteration Detection

Document Alteration Detection is a forensic methodology within the field of forgery detection that identifies unauthorized modifications in a document by analyzing discrepancies in content, structure, or physical characteristics to distinguish genuine from tampered documents.

22

Publications

543

Citations

66

Authors

32

Institutions

Publications per year

2017–2026

4

Authors

66

  1. HP
    H. P. Khandagale

    1 publications · 14 citations

    1

    h-index

  2. FS
    Faisal Shafait

    German Research Centre for Artificial Intelligence, Germany

    1 publications · 15 citations

    1

    h-index

  3. YK
    Yogesh Kisan Mali

    Raisoni Group of Institutions, India

    1 publications · 23 citations

    1

    h-index

  4. JH
    Joachim Hammer

    University of Florida, United States

    1 publications · 17 citations

    1

    h-index

  5. NR
    Nikhil R. Pal

    Indian Statistical Institute, India

    1 publications · 18 citations

    1

    h-index

1–5 of 66

Venues

  1. 2

    h-index

  2. IET Image Processing

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 32 citations

    1

    h-index

  5. 1

    h-index

1–5