A Review in Tamil Palm Leaf Manuscript for Character Recognition
DOI:
https://doi.org/10.63682/jns.v14i15S.3443Keywords:
Tamil Palm Leaf, Image Enhancement, Image Segmentation, Data Retrieval, Ancient Tamil Character, and Character RecognitionAbstract
More than two thousand years ago, the people of South Asia utilized palm leaf manuscripts for record-keeping and data transmission. These historical records contain value information for several age group peoples on a variety of themes, including culture, astronomy, mathematic, astrology and medicine. The valuable information is written in local languages these priceless records are damaged due to lack of maintained. Many researchers are dedicated to safeguarding the antique palm leaf scripts in order to preserve our priceless knowledge writings. However, as science and technology have advanced, images have become a vital means of transmitting information, and image processing has seen a surge in recent years. Numerous image processing techniques have been proposed for the efficient data retrieval, which includes image enhancement, segmentation, processing, restoration, compression and acquisition. Creating an effective image processing system to efficiently extract metadata from these manuscripts automatically is one of the goals. The world's oldest language is Tamil, and because writing styles vary greatly, it can be challenging from palm leaves to recognize ancient Tamil characters. Efficient feature extraction, selection, and character identification are necessary components of a system for identifying ancient Tamil characters. On this context, the study examines the literature on various techniques and strategies for locating, classifying, and extracting data from historical inscriptions inscribed on Tamil palm leaf manuscripts.
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