Image-based Detection

Image-Based Detection is a computational method that identifies counterfeit medicines by analyzing visual features extracted from images, distinguishing itself from other detection approaches through its reliance on optical data and pattern recognition techniques applied to physical product appearance.

551

Publications

24K

Citations

2.1K

Authors

765

Institutions

Publications per year

2017–2026

331

Authors

2.1K

  1. CY
    Ching Y. Suen

    Concordia University, Canada

    3 publications · 63 citations

    3

    h-index

  2. GB
    George Baciu

    Hong Kong Polytechnic University, Hong Kong SAR China

    3 publications · 134 citations

    3

    h-index

  3. OR
    Oriol Ramos Terrades

    Universitat Autònoma de Barcelona, Spain

    3 publications · 63 citations

    3

    h-index

  4. RS
    Rajat Subhra Chakraborty

    Indian Institute of Technology Kharagpur, India

    3 publications · 67 citations

    3

    h-index

  5. MD
    Michael D. Feldman

    University of Pennsylvania, United States

    3 publications · 363 citations

    3

    h-index

1–5 of 2.1K

Venues

  1. IEEE Access

    15 publications · 533 citations

    13

    h-index

  2. Sensors

    11 publications · 349 citations

    11

    h-index

  3. 8

    h-index

  4. arXiv (Cornell University)

    Repository · 7 publications · 378 citations

    7

    h-index

  5. 6

    h-index

1–5