The document discusses a Khmer optical character recognition (OCR) project being conducted from 2011-2012 by researchers and a student. It aims to develop a font-independent and size-independent Khmer OCR system. The document reviews the state of the art in Khmer OCR, including previous work detecting Khmer characters with up to 92.85% accuracy. It outlines the training of Tesseract, an open source OCR engine, on Khmer fonts and character clusters. Current work on the project seeks to improve previous results and develop a graphical user interface and ability to easily add new fonts.

1. Khmer OCR
LONG Seangmeng
Lecturer and researcher, GIC - ITC
seangmeng@itc.edu.kh
17/02/2012
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2. Khmer OCR
• OCR System
• Khmer OCR Project
• State of the Art
• Work Done
• Current Work
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3. OCR System
OCR
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4. Khmer OCR Project
• 2011-2012
• Team
– 1 researcher
– 1 intern student (5th year)
• Develop a Khmer OCR system
– Font independent
– Size independent
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5. State of the Art
Author Limitation Result
C. Chey, P. Kumhom and K.
Chamnongthai
10 characters (បពជកភណ
ឃសវទ)
92%
C. Chey, P. Kumhom and K.
Chamnongthai
20 fonts 92.85% (size 22)
91.66% (size 18)
89.27% (size 12)
L. Ing and A. Muaz Limon R1 22 98.88%
V. Kruy Font and size independent 97%
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Tesseract
• Top 3 engines in 1995
• Most accurate open source OCR engine

6. Work Done
• Training Tesseract for Khmer font
– Khmer OS font
– 2210 character clusters
– 11 MB
• Problems
– Some characters not detected
– Some characters misdetected
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7. Current Work
• Improve works done by Vanna Kruy
– Improve performance
– Create an easy-to-use GUI
– Make it easy to add new fonts
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8. Thanks for your attention!
Questions???
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