Abstract
Palm leaves were used in ancient culture as writing material for documenting traditional literature, scientific agreements, and history. Such scriptures are an integral part of our community and must be protected in the best way possible. But the extraction of data from palm leaf is a frustrating activity because of numerous challenges such as the enormous collection of noise characters and the difficulties in reading and interpreting the ancient Malayalam script. In this paper a novel denoising technique that eliminates all sorts of noises that can exist in palm leaf manuscript is developed. The major drawback of any palm leaf denoising method is, even after removing the noise in the palm leaves, the punch holes remain intact. Here, with the new technique developed, punch holes were completely eliminated, preserving the information in the manuscripts. Performance of this new denoising method was compared with several existing techniques and found that this new technique produced the best PSNR, SSIM, and MSE values of 19.40 dB, 0.244, and 0.001 respectively.
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Stock Photo—detail of a preserved palm leaf manuscripts showing writings about ayurvedic medicines in old Malayalam script from Kerala, India. https://www.123rf.com/.
https://www.dreamstime.com/.
ACKNOWLEDGMENTS
The authors would like to thank Ms. Sainaba M of the Oriental Institute and Manuscript Library in University of Kerala (Kariavattom campus) for her guidance and help in obtaining the images of Malayalam palm scripts.
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Dhanya Sudarsan. Born 1985. Graduated with a Bachelor’s degree from the Department of Information Technology of the School of Engineering, Cochin University of Science and Technology (CUSAT) in 2008 and Master’s degree from Rajagiri School of Engineering and Technology in 2013. Currently pursuing PhD from the Department of Electronics of the School of Engineering, Cochin University of Science and Technology and working as an Assistant Professor in the Department of computer Science of Muthoot Institute of Technology and Science. Scientific interests: image processing, deep learning, and computer networking. Author of more than ten international conference papers and three international journal papers.
Deepa Sankar. Born in 1974. Acquired BTech Degree from Model Engineering College, CUSAT, Kerala in 1995. MTech and PhD Degrees from the Department of Electronics, Cochin University of Science and Technology(CUSAT), Kerala in 2003 and 2013, respectively. Currently working as Professor at School of Engineering, CUSAT, Kerala. Areas of interests: image processing, pattern recognition, and fractals. She has more than 30 publications in various international journals and conferences.
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Dhanya Sudarsan, Deepa Sankar A Novel Complete Denoising Solution for Old Malayalam Palm Leaf Manuscripts. Pattern Recognit. Image Anal. 32, 187–204 (2022). https://doi.org/10.1134/S1054661822010096
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DOI: https://doi.org/10.1134/S1054661822010096