Comparison of Face Recognition on RGB and Grayscale Color with Deep Learning in Forensic Science
Author:
Affiliation:
1. Faculty of Forensic Science,Royal Police Cadet Academy, RPCA, Thailand
2. Faculty of Engineering, Mahidol University, EGTI, Thailand
Funder
Thailand Science Research and Innovation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589572.3589586
Reference26 articles.
1. Facial Recognition Technology (FRT). (2020 February 6). NIST. https://www.nist.gov/speech-testimony/facial-recognition-technology-frt-0 Facial Recognition Technology (FRT). (2020 February 6). NIST. https://www.nist.gov/speech-testimony/facial-recognition-technology-frt-0
2. Likelihood Ratios for Deep Neural Networks in Face Comparison
3. Automated face recognition in forensic science: Review and perspectives
4. The Likelihood-Ratio Framework and Forensic Evidence in Court: A Response to R v T
5. An application of viola jones method for face recognition for absence process efficiency
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