Abstract
We present PWDB_13, a Word-level printed document image corpus from thirteen official Indic scripts, which consists of 26,000 words with equal distribution of each of the thirteen script types, collected by an automated process. A realistic classification framework based on four major regions of India has been proposed which represent the work as a unique one. Benchmarking is done with respect to PSI or printed script identification problem as it is very relevant in multi-script scenario. The result is said to be impressive observing the volume of the corpus and intrinsic complexities of Indic scripts. PWDB_13 will bridge the gap of unavailability of a complete document image dataset on all official Indic scripts and freely available to the researchers for noncommercial use.
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Obaidullah, S.M., Halder, C., Das, N., Roy, K. (2016). PWDB_13: A Corpus of Word-Level Printed Document Images from Thirteen Official Indic Scripts. In: Das, S., Pal, T., Kar, S., Satapathy, S., Mandal, J. (eds) Proceedings of the 4th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA) 2015. Advances in Intelligent Systems and Computing, vol 404. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2695-6_21
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DOI: https://doi.org/10.1007/978-81-322-2695-6_21
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