Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning

@article{Han2019TattooIS,
  title={Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning},
  author={Hu Han and J. Li and Anil K. Jain and S. Shan and Xilin Chen},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2019},
  volume={41},
  pages={2333-2348}
}
  • Hu Han, J. Li, Xilin Chen
  • Published 1 November 2018
  • Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
The explosive growth of digital images in video surveillance and social media has led to the significant need for efficient search of persons of interest in law enforcement and forensic applications. Despite tremendous progress in primary biometric traits (e.g., face and fingerprint) based person identification, a single biometric trait alone can not meet the desired recognition accuracy in forensic scenarios. Tattoos, as one of the important soft biometric traits, have been found to be… 
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