Character segmentation from ancient palm leaf manuscripts in Thailand

An optimality of an automatic character recognition for Tamil palm leaf manuscripts can be achieved only by an efficient segmentation of touching characters. In this article, the touching characters are segmented as a single character to achieve an optimum solution by the recognizer in Optical Character Recognition (OCR). The proposed method provides a novelty in touching character segmentation of Tamil palm leaf manuscripts. An initial process of separation of background image and foreground characters is applied on the palm leaf images by filtering and removing unwanted pieces of characters by noise removal methods. The thickening process overcomes the difficulty of small breakages in the characters. The aspect ratio of the character image can be used to categorize the character such as single or multi touching. Single touching is divided by yet another ways such as horizontal or vertical touching. Finally, the proposed algorithm for Horizontal and Vertical character segmentation named as HorVer method is applied on the horizontally and vertically touching characters to segment as independent character. Experimental result produces 91% of an accuracy on segmenting the touching characters in Tamil palm leaf manuscript images collected from various resources and Tamil Heritage Foundation (THF). A novelty method can be achieved in Tamil touching character segmentation by the proposed algorithm.

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Line Segmentation Challenges in Tamil Language Palm Leaf Manuscripts

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.l3159.119119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 2363-2367

Keyword(s):

Character Recognition ◽

Optical Character Recognition ◽

Character Segmentation ◽

Binary Images ◽

Optical Character ◽

Colour Image ◽

Segmentation Methods ◽

Segmentation Algorithms ◽

Line Segmentation ◽

Palm Leaf

The process of an Optical Character Recognition (OCR) for ancient hand written documents or palm leaf manuscripts is done by means of four phases. The four phases are ‘line segmentation’, ‘word segmentation’, ‘character segmentation’, and ‘character recognition’. The colour image of palm leaf manuscripts are changed into binary images by using various pre-processing methods. The first phase of an OCR might break through the hurdles of touching lines and overlapping lines. The character recognition becomes futile when the line segmentation is erroneous. In Tamil language palm leaf manuscript recognition, there are only a handful of line segmentation methods. Moreover, the available methods are not viable to meet the required standards. This article is proposed to fill the lacuna in terms of the methods necessary for line segmentation in Tamil language document analysis. The method proposed compares its efficiency with the line segmentation algorithms work on binary images such as the Adaptive Partial Projection (APP) and A* Path Planning (A*PP). The tools and criteria of evaluation metrics are measured from ICDAR 2013 Handwriting Segmentation Contest.

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A New Scheme for Text Line and Character Segmentation from Gray Scale Images of Palm Leaf Manuscript

2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR) ◽

10.1109/icfhr.2016.0068 ◽

2016 ◽

Cited By ~ 4

Author(s):

Made Windu Antara Kesiman ◽

Jean-Christophe Burie ◽

Jean-Marc Ogier

Keyword(s):

Character Segmentation ◽

Text Line ◽

Gray Scale ◽

Palm Leaf

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A Study On Consumer Awareness Towards Siddha Medicine In Dharmapuri City

Restaurant Business ◽

10.26643/rb.v118i12.12582 ◽

2019 ◽

Vol 118 (12) ◽

pp. 16-23

Author(s):

M. Chitra ◽

Dr. C. Madhesh

Keyword(s):

South India ◽

T Test ◽

Statistical Techniques ◽

Consumer Awareness ◽

Chi Square ◽

Modern Era ◽

Palm Leaf

Siddha is considered to be one of the oldest medicines with its own benefits. In this modern era, people are more aware towards their health. At many circumstances of illness, people use Siddha medicines to cure their disease. Siddha is preferred for its own specialties. This paper has attempted to reveal the awareness towards Siddha medicines taking 52 respondents from Dharmapuri City. The results were analysed by using various statistical techniques like percentage analysis, chi-square and t test. Siddha focuses on the eight supernatural powers called as ‘Ashtaamahasiddhi’ and those who achieved these powers were known as siddhars. Hence it is called as siddha medicine. The siddhars knowledge was found in palm leaf manuscripts and their fragments were found in some parts of south India.

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