A Hybrid Color Space for Skin Detection Using Genetic Algorithm Heuristic Search and Principal Component Analysis Technique
- Submitting institution
-
Anglia Ruskin University Higher Education Corporation
- Unit of assessment
- 12 - Engineering
- Output identifier
- 665
- Type
- D - Journal article
- DOI
-
10.1371/journal.pone.0134828
- Title of journal
- PLOS ONE
- Article number
- -
- First page
- e0134828
- Volume
- 10
- Issue
- 8
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel colour space proposed in this research was deployed in a commercial smart access point to screen adult content on the Internet and provide safe and clean cyberspace for schools and family environments. This study was conducted in collaboration with the Ministry of Higher Education Malaysia (MOHE) and the Malaysian Computer Emergency response team (MyCERT). The research was funded by Malaysia’s Flagship Research University Grant (PY/2014/03405) and helped further collaboration with MyCERT and Cyber Security Malaysia.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
