Trademark Image Classification

Trademark Image Classification is a computational method that categorizes visual representations of trademarks according to standardized symbolic and design features to facilitate international registration and retrieval within intellectual property systems.

28

Publications

1.6K

Citations

78

Authors

35

Institutions

Publications per year

2017–2026

5

Authors

78

  1. RS
    Rossitza Setchi

    Cardiff University, United Kingdom

    2 publications · 70 citations

    2

    h-index

  2. FM
    Fatahiyah Mohd Anuar

    Cardiff University, United Kingdom

    2 publications · 70 citations

    2

    h-index

  3. AD
    Arcot Desai Narasimhalu

    National University of Singapore, Singapore

    1 publications · 71 citations

    1

    h-index

  4. SC
    Sam C.-C. Lin

    National Yang Ming Chiao Tung University, Taiwan

    1 publications · 34 citations

    1

    h-index

  5. DS
    Daniel Schulz

    University of Chile, Chile

    1 publications · 30 citations

    1

    h-index

1–5 of 78

Venues

  1. Pattern Recognition

    4 publications · 709 citations

    4

    h-index

  2. Image and Vision Computing

    2 publications · 188 citations

    2

    h-index

  3. Pattern Recognition Letters

    2 publications · 81 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 70 citations

    2

    h-index

  5. International Journal of Market Research

    1 publications · 40 citations

    1

    h-index

1–5