Image-based Document Verification

Image-Based Document Verification is a document authentication method that verifies the integrity and legitimacy of physical or digital documents through the analysis of visual and structural features extracted from image data, distinguishing it from text- or metadata-based verification approaches by relying exclusively on pixel-level and spatial characteristics.

22

Publications

794

Citations

77

Authors

27

Institutions

Publications per year

2017–2026

10

Authors

77

  1. VG
    Venu Govindaraju

    University at Buffalo, State University of New York, United States

    2 publications · 52 citations

    2

    h-index

  2. SM
    Sriganesh Madhvanath

    Hewlett-Packard (India), India

    2 publications · 52 citations

    2

    h-index

  3. EM
    E. M. Kleinberg

    University at Buffalo, State University of New York, United States

    2 publications · 52 citations

    2

    h-index

  4. HL
    Honggang Liu

    Xidian University, China

    1 publications · 58 citations

    1

    h-index

  5. PC
    Pei-Ju Chiang

    Purdue University West Lafayette, United States

    1 publications · 55 citations

    1

    h-index

1–5 of 77