image segmentation of historical handwriting from palm leaf manuscripts
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Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts. Olarik Surinta Mahasarakham University Thailand. Introduction. Palm leaf manuscripts have been a popular written media for over a thousand years in Southeast Asia - PowerPoint PPT PresentationTRANSCRIPT
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Oct 21, 2008 IIP2008 1
Image Segmentation of Historical Handwriting from Palm Leaf
Manuscripts
Olarik SurintaMahasarakham University
Thailand
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Introduction
• Palm leaf manuscripts have been a popular written media for over a thousand years in Southeast Asia
• Palm leaves were used for recording the history, knowledge and local wisdoms such as– Medical treatments– Buddhist doctrine– The story of dynasties
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Introduction (cont)
• Mahasarakham University is establishing Palm Leaf Manuscript Preservation Project for the discovery, preservation and protection of palm leaf manuscripts from Northeast Thailand
palm leaf manuscript
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Proposed framework
• We use palm leaf manuscripts consisting of 227 pages to do research work
• The system processes consist of– Background elimination– Line segmentation, and– Character segmentation
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Proposed framework (cont)
Framework of the BILAN (palm leaf manuscripts) system
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Convert Image from RGB color to Grey Image
• We use this equation to convert RGB color to Grey image
Y = 0.3R + 0.59G + 0.11BRGB color
Grey image
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Noise Reduction
• Noise is maybe appearing from the scanning process.
• This process is removing noise from Grey image using Gaussian Filtering
grey image before and after noise reduction
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Background Elimination using Otsu’s Algorithm
• This method proposed by Otsu. It based on grey level histogram
Otsu’s threshold value method
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Oct 21, 2008 IIP2008 9
Background Elimination using Otsu’s Algorithm (cont)
Grey image
binary image after background elimination
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Image recovery
• We apply Mathematical Morphology in this research such as– Dilation– erosion
binary image binary image after morphology
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Line Segmentation
• Projection profile analysis is a popular technique for line segmentation.
• We use horizontal projection profile analysis because the texts in most document images are aligned along horizontal lines
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Oct 21, 2008 IIP2008 12
Line Segmentation (cont)
Line segmentation histogram
Image after line segmentation
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Line Segmentation (cont)
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Character Segmentation
• In this step, use vertical projection profile analysis.
• we apply a threshold value on the length of the space in between the characters
image after vertical projection profile
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Experimental Results
• The method was tested using a set of 227 palm leaf manuscripts
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Background Elimination Results
Background Elimination Accuracy
Number of documents Percentage of background elimination segmented
Complete 138 61
Incomplete 89 39
Total 227 100
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Line Segmentation Results
Number of Segmented Lines
Percentage of lines correctly segmented
4 78%
5 87%
Average 82.5%
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Complete background elimination
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Oct 21, 2008 IIP2008 19
Incomplete background elimination
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Oct 21, 2008 IIP2008 20
Incomplete background elimination
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Future work
• Application this research for OCR system.• Translation Palm leaf manuscripts into Thai
language.
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End of this presentation
Thank you very much