Segmentation is an important step for developing any optical character recognition (OCR) system, which has to be redesigned for each script having, non-uniform nature/property. It is used to decompose the image into its sub-units, which act as a basis for character recognition. Brahmi is a non-cursive ancient script, in which characters are not attached to each other and have some spacing between them. This study analyses various segmentation methods for different scripts to develop the best suitable segmentation method for Brahmi. MATLAB software was used for segmentation purpose in the experiment. The sample data belongs to Brahmi script-based ‘Rumandei inscription’. In this paper, we discuss a segmentation methodology for distinct components, namely text lines, words and characters of Rumandei inscription, written in Brahmi script. For segmenting distinct components of inscription different approach were used like horizontal projection profile, vertical projection profile and Relative minima approach. This is fundamental research on an inscription based on Brahmi script, which acts as a foundation for developing a segmentation module of an OCR solution/system of similar scripts in future. Information search and retrieval is an important activity of a library. So, to ensure this support for digitised documents written in ancient script, their character recognition is mandatory through the OCR system.
Brahmi Script - is one of the earliest scripts known to India and South Asia and it is also an ancestral script for all the indigenous scripts present in India. The researchers, historians, laymen, etc. need these sources of information systematically and handily. In the scholarly world, a huge amount of data and information (Digital Humanities based collections) related to Brahmi script is available but all this information is scattered in the form of texts, images, videos, etc. This creates chaos to understand the overall story of the Brahmi script from its inception to till date. With these issues, we felt motivated to present the data and information related to Brahmi Script among their users in a more informative, easily accessible, and comfortably understandable manner. In this paper, we have tried to connect all the dots related to Brahmi Script under one umbrella with the help of the Digital humanities tool – VisualEyes. Further, we have mapped these multimedia formats with each other on the historical timeline, interactive maps and story events to establish and understand the relationship among the various facets of the Brahmi Script. The impact of this research is more appealing as it has presented a new dimension for any other script to make it more accessible and easily understandable worldwide while using an innovative open-source tool.
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