Asset Details

  • Description:
  • Experimental results for Punjabi and Bangla languages. Alternate colors of gray and black is used to represent the segmented components
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Science+Business Media, LLC, part of Springer Nature 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Figure
  • Image Orientation:
  • Portrait
  • Image Dimensions:
  • 1180 x 1253
  • Image File Size:
  • 298 KB
  • Creator:
  • Deepika Gupta, Soumen Bag
  • Credit:
  • Gupta, D., & Bag, S. (2019). Handwritten multilingual word segmentation using polygonal approximation of digital curves for Indian languages. Multimedia Tools and Applications, 78(14), 19361-19386. https://doi.org/10.1007/s11042-019-7286-0.
  • Collection:
  • Keywords:
  • Character segmentation, Deep learning, Handwritten, Indian languages, Multilingual, OCR, Script independent
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Deepika Gupta, Soumen Bag
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • 78
  • Publication Issue:
  • 14
  • Publication Date:
  • 02/11/2019
  • DOI:
  • https://doi.org/10.1007/s11042-019-7286-0

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