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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References
Obaidullah, S.M., Das, S.K., Roy, K.: A system for handwritten script identification from Indian document. J. Pattern Recognit. Res. 8(1), 1–12 (2013)
Ghosh, D., Dube, T., Shivprasad, S.P.: Script recognition—a review. IEEE Trans. Pattern Anal. Mach. Intell. 32(12), 2142–2161 (2010)
Obaidullah, S.M., Rahaman, Z., Das, N., Roy, K.: Development of document image database for offline handwritten Indic script identification—a state-of-the-art. Int. J. Appl. Eng. Res. 9(20) special issue, 4625–4630, Research India Publication
Chaudhuri, B.B., Pal, U.: An OCR system to read two Indian language scripts: Bangla and Devanagari (Hindi). In: Proceedings of 4th International Conference on Document Analysis and Recognition, pp. 18–20. University Health Network (1997)
Hochberg, J., Kelly, P., Thomas, T., Kerns, L.: Automatic script identification from document images using cluster-based templates. IEEE Trans. Pattern Anal. Mach. Intell. 19, 176–181 (1997)
Chaudhury, S., Harit, G., Madnani, S., Shet, R.B.: Identification of scripts of Indian languages by combining trainable classifiers. In: Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing, Bangalore, India (2000)
Dhanya, D., Ramakrishnan, A.G., Pati, P.B.: Script identification in printed bilingual documents. Sadhana 27(part-1), 73–82 (2002)
Pati, P.B., Ramakrishnan, A.G.: Word level multi-script identification. Pattern Recognit. Lett. 29(9), 1218–1229 (2008)
Obaidullah, S.M., Mondal, A., Das, N., Roy, K.: Script identification from printed indian document images and performance evaluation using different classifiers. Appl. Comput. Intell. Soft Comput. 2014(Article ID 896128), 12 (2014)
Roy, K., Banerjee, A., Pal, U.: A system for word-wise handwritten script identification for Indian postal automation. In: Proceedings of IEEE India Annual Conference, pp. 266–271 (2004)
Obaidullah, S.M., Halder, C., Das, N., Roy, K.: A corpus of word-level offline handwritten numeral images from official Indic scripts. In: International Conference on Computer and Communication Technologies. AISC Series, Springer, Hyderabad (2015)
Mandal, J.K., Sengupta, M.: Authentication/secret message transformation through wavelet transform based subband image coding (WTSIC). In: International Symposium on Electronic System Design 2010, pp. 225–229. Bhubaneswar, India (2010). ISBN: 978-0-7695-4294-2
Bhateja, V., Urooj, S., Mehrotra, R., Verma, R., Ekuakille, A.L., Verma, V.D.: A composite wavelets and morphology approach for ECG noise filtering. PReMI 2013, 361–366 (2013)
Dey, N., Das, A., Chaudhuri, S.S.: Wavelet based normal and abnormal heart sound identification using spectrogram analysis. Int. J. Comput. Sci. Eng. Technol. (IJCSET) 3(6) (2012)
Pardeshi, R., Chaudhury, B.B., Hangarge, M., Santosh, K.C.: Automatic handwritten Indian scripts identification. In: Proceedings of 14th International Conference on Frontiers in Handwriting Recognition, pp. 375–380 (2014)
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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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