Abstract
Digital India is an initiative by the Government of India. This initiative encourages digitization and analysis in all walks of life. Digitization will preserve any historical document and that information can access by any individuals by his finger tip from any place. Stone inscriptions are one of the key historical evidences of literature and culture of that region in the passage of time. Recognition and analysis of stone inscriptions play a pivotal role in deciding the era/age it belongs ad to understand the content. A proper digitization and recognition technique is prerequisite and desired. Here, in this work digitization of characters has been done by using ordinary digital camera. Further, the captured images are pre-processed in order to extract features. In this proposed algorithm, gradient analysis is carried out at every pixel in the x and y directions, based on the result it defines an edge using Fuzzy Inference System. The experiment was conducted on twenty set of analogous degraded stone inscriptions Kannada characters and result obtained was magnificent with better time efficiency compared to prior methods.
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References
Mohana, H.S., Rajithkumar, B.K.: Era identification and recognition of Ganga and Hoysala phase Kannada stone inscriptions characters using advance recognition algorithm. IEEE (2014). ISBN: 978-1-4799-4190-2/14/$31.00
Bhagabati, B., Das, C.: Edge detection of digital images using fuzzy rule based technique. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 2(6) (2012)
Abdullah, A., et al.: Edge detection in digital images using fuzzy logic technique. IEEE Sci. Eng. Technol. 178–186 (2009)
Mohana, H.S., Rajithkumar, B.K. et al.: Extraction of stone in-scripted Kannada characters using sift algorithm based image mosaic. Int. J. Electr. Commun. Technol. (IJECT) 5(2) (2014). ISSN: 2230-7109
Rajithkumar, B.K. et al.: Read and recognition of old Kannada stone inscriptions characters using novel algorithm. IEEE 308–312 (2015). ISBN: 978-1-4673-9825-1/15/$31.00
Rajithkumar, B.K. et al.: Template matching method for recognition of stone inscripted Kannada characters of different time frames based on correlation analysis. Int. J. Comput. Electr. Res. (IJCER) 3(3) (2014). ISSN: 2278-5795
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RajithKumar, B.K., Mohana, H.S., Uday, J., Uma, B.V. (2018). Edge Detection of Degraded Stone Inscription Kannada Characters Using Fuzzy Logic Algorithm. In: Satapathy, S., Bhateja, V., Raju, K., Janakiramaiah, B. (eds) Data Engineering and Intelligent Computing. Advances in Intelligent Systems and Computing, vol 542 . Springer, Singapore. https://doi.org/10.1007/978-981-10-3223-3_2
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DOI: https://doi.org/10.1007/978-981-10-3223-3_2
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