![]() ![]() Ahmed, “Image quality parameter detection: A study,” Int. on Image, Vision and Computing (ICIVC), Chengdu, China, 2017 (IEEE, 2017), pp. Yu, Haiyan Li, and Hongsong Li, “Stroke edge based binarization algorithm for the palm leaf manuscripts,” in 2nd Int. Maheswari, “Digital acquisition and character extraction from stone inscription images using modified fuzzy entropy-based adaptive thresholding,” Soft Comput. ![]() Wang, “Broken and degraded document images binarization,” Neurocomputing 237, 272–280 (2017). on Acoustics, Speech, and Signal Processing, Philadelphia, 2005 (IEEE, 2005), pp. Morel, “Image denoising by non-local averaging,” in Proc. ![]() on Document Analysis and Recognition (ICDAR), Kyoto, 2017 (IEEE, 2017), pp. Breuel, “High performance text recognition using a hybrid convolutional-LSTM implementation,” in 14th IAPR Int. Hancock, Lecture Notes in Computer Science, vol. Omar, and M. Faidzul, “Adaptive thresholding methods for documents image binarization,” in Pattern Recognition. ![]() 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.ī. Here, with the new technique developed, punch holes were completely eliminated, preserving the information in the manuscripts. The major drawback of any palm leaf denoising method is, even after removing the noise in the palm leaves, the punch holes remain intact. In this paper a novel denoising technique that eliminates all sorts of noises that can exist in palm leaf manuscript is developed. 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. Such scriptures are an integral part of our community and must be protected in the best way possible. Palm leaves were used in ancient culture as writing material for documenting traditional literature, scientific agreements, and history. ![]()
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