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Skew Detection and Correction System for Ancient Kannada Document
Ravi P, Naveena C, Sharathkumar Y H
SJB Institute of Technology and Vidyavardhaka College of Engineering., SJB Institute of Technology Bangalore, India., Maharaja Institute of Technology Bangalore, India
Abstract: In this work, the authors propose a skew correction method for ancient Kannada document. This method consists of four steps segmentation, clustering, skew estimation and correction. The Morphological process is applied for skew estimation and skew correction. Experimentation is carried on the seventeen ancient Kannada document. The ten human professionals are asked to acquire the orientation of each block present in the document and the same has been used to compare the results achieved by the proposed method for check the accuracy .We obtained encouraging the result in the proposed model.
Keywords: Ancient Kannada, Skew Correction, Morphological Process, Clustering Skew Detection and Correction System for Ancient Kannada Document
DOI:https://doi.org/10.6025/jcl/2020/11/4/128-134
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References:[1] Aradhya Manjunath V. N., Hemantha Kumar, G., Shivakumara, P. (2007). Skew Detection Technique for Binary Document Images based on Hough Transform, ISSRI, p 2401-2407. [2] Papandreou, A., Gatos, B. A. (2011). Novel Skew Detection Technique Based on Vertical Projections, IEEE, p 384-388. [3] Manomathi, M., Chitrakala, S. (2011). Skew Angle Estimation and Correction for Noisy Document Images, Springer, p 415-424. [4] Trupti A Jundale., Ravindra S Hegadi. (2015). Skew detection and correction of Devanagari script using Hough Transform, Elsevier, p 305-311. [5] Abdelhak, Boukharouba. (2016). A new algorithm for skew correction and baseline detection based on the randomized Hough Transform, Elsevier, p 29-38. [6] Subrahmanyam, Vijaya Kumar, V., Eswara Reddy, B. (2018). A New Algorithm for Skew Detection of Telugu Language Document based on Principle-axis Farthest Pairs Quadrilateral (PFPQ), International Journal of Modern Education and Computer Science, p 47-58. [7] Makridis Michael., Nikolaou, Nikos., Papamarkos, Nikos. (2010). An adaptive technique for global and local skew correction in color documents, Elsevier, p 6832–6843. [8] Chinara, Chinmay., Nath, Nishant., Mishra, Subhajeet., Sahoo, Sangram K., Ali, Farida A. (2012). A Novel Approach to Skew-Detection and Correction of English Alphabets for OCR, IEEE, p 241-244. [9] Neha1., Arora, Apoorva. (2015). Euclidean Distance Based Text Line Extraction and Skew Correction, International Journal of Science and Research, p 1617- 1620. [10] Alaei, Alireza., Nagabhushan, P. (2016). Umapada Pal and Fumitaka Ki-mura,An Efficient Skew Estimation Technique for Scanned Documents,An Application of Piece-wise Painting Algorithm, Journal of Pattern Recognition Research, p 1- 14. [11] Gari, A., Khaissidi, G., Mrabti, M., Chenouni, D., El Yacoubi, M. (2017). Skew detection and correction based on Hough transform and Harris corners, 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), Fez. [12] Li, W., Breier, M., Merhof, D. (2015). Skew correction and line extraction in bi-narized printed text images, 2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, 2015, p 472-476. [13] Vishwas, H. S., Thomas, B. A., Naveena, C. (2018). Text Line Segmentation of Uncon-strained Handwritten Kannada Historical Script Documents. In: Guru D., Vasudev T., Chethan H., Kumar Y. (eds) Proceedings of International Con-ference on Cognition and Recognition. Lecture Notes in Networks and Systems, vol 14. Springer, Singapore. https://doi.org/10.1007/978-981-10-5146-3_23. [14] Boudraa, O., Hidouci, W. K., Michelucci, D. (2017). An improved skew angle detection and correction technique for historical scanned documents using morphological skeleton and progressive probabilistic hough transform, 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B), Boumerdes. [15] Chen, Huang, K., Yu, Z., Yan, M., Yin. X. (2020). An Efficient Document Skew Detection Method Using Probability Model and Q Test. Electronics 2020, 9, 55. [16] Mohammed, S. W., Soora, N. R. (2018). Global Skew Detection and Correction Using Morphological and Statistical Methods. In: Hemanth D., Smys S. (eds) Computational Vision and Bio Inspired Computing. Lecture Notes in Computational Vision and Biomechanics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71767-8_48.

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