Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors

Faraz Ahmad Khan, Fouad Khelifi, Muhammad Atif Tahir, Ahmed Bouridane. Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors. IEEE Transactions on Information Forensics and Security, 14(2):289-303, 2019. [doi]

@article{KhanKTB19,
  title = {Dissimilarity Gaussian Mixture Models for Efficient Offline Handwritten Text-Independent Identification Using SIFT and RootSIFT Descriptors},
  author = {Faraz Ahmad Khan and Fouad Khelifi and Muhammad Atif Tahir and Ahmed Bouridane},
  year = {2019},
  doi = {10.1109/TIFS.2018.2850011},
  url = {https://doi.org/10.1109/TIFS.2018.2850011},
  researchr = {https://researchr.org/publication/KhanKTB19},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Forensics and Security},
  volume = {14},
  number = {2},
  pages = {289-303},
}