The following publications are possibly variants of this publication:
- Handwritten Indic Script Identification in Multi-Script Document Images: A SurveySk Md Obaidullah, K. C. Santosh, Nibaran Das, Chayan Halder, Kaushik Roy 0004. ijprai, 32(10):1856012, 2018. [doi]
- Indic script identification from handwritten document images - An unconstrained block-level approachSk Md Obaidullah, Nibaran Das, Chayan Halder, Kaushik Roy. retis 2015: 213-218 [doi]
- Automatic Indic script identification from handwritten documents: page, block, line and word-level approachSk Md Obaidullah, K. C. Santosh, Chayan Halder, Nibaran Das, Kaushik Roy 0004. mlc, 10(1):87-106, 2019. [doi]
- An Approach for Automatic Indic Script Identification from Handwritten Document ImagesSk Md Obaidullah, Chayan Halder, Nibaran Das, Kaushik Roy 0004. acss 2016: 37-51 [doi]
- Deep Learning for Word-Level Handwritten Indic Script IdentificationSoumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah, K. C. Santosh, Kaushik Roy 0004, Nibaran Das. rtip2r 2021: 499-510 [doi]
- PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identificationSk Md Obaidullah, Chayan Halder, K. C. Santosh, Nibaran Das, Kaushik Roy 0004. mta, 77(2):1643-1678, 2018. [doi]
- Improved word-level handwritten Indic script identification by integrating small convolutional neural networksSoumya Ukil, Swarnendu Ghosh, Sk Md Obaidullah, K. C. Santosh, Kaushik Roy 0004, Nibaran Das. nca, 32(7):2829-2844, 2020. [doi]
- Extreme learning machine for handwritten Indic script identification in multiscript documentsSk Md Obaidullah, Amitava Bose, Himadri Mukherjee, K. C. Santosh, Nibaran Das, Kaushik Roy 0004. jei, 27(05):51214, 2018. [doi]