Asset Details
- Identifier:
- 11042_2019_7286_Fig11_HTML
- 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 Title:
- Handwritten multilingual word segmentation using polygonal approximation of digital curves for Indian languages
- Article Authors:
- Deepika Gupta, Soumen Bag
- Article Copyright Year:
- 2019
- Publication Title:
- Multimedia Tools and Applications
- 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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