Accuracy Improvement of Khmer Text Recognition by Correcting Post-recognized Characters

Key Messages The Constitution of Cambodia establishes Khmer as the official language, making accurate digital processing of Khmer documents crucial for national development. Limitations hinder current digital transformation efforts in both public and private sectors in Khmer text recognition technology. Existing Optical Character Recognition (OCR) tools show significant limitations with Khmer script, with common character recognition errors affecting document processing efficiency. Our post-processing correction method improves Khmer OCR accuracy from 93.4 to 96.4%, representing a significant advancement in Khmer text digitization. The proposed solution can be integrated into existing document management systems without requiring extensive infrastructure changes. Government agencies and private organizations can achieve higher efficiency in document digitization while maintaining Khmer language integrity. Government institutions should prioritize the adoption of improved Khmer OCR systems to enhance public service delivery. Investment in Khmer language digital tools will support Cambodia’s digital transformation goals while preserving its linguistic heritage.

Authors

Institutions

Publication Details

Journal
Insight Cambodia Journal of Basic and Applied Research
Published
2024-12-30
DOI
https://doi.org/10.61945/cjbar.2024.6.2.06
Primary Topic
Handwritten Text Recognition Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accuracy Improvement of Khmer Text Recognition by Correcting Post-recognized Characters

Sovila Srun, Tom Kean, Leap BUN
Insight Cambodia Journal of Basic and Applied Research
Handwritten Text Recognition Techniques
article

Accuracy Improvement of Khmer Text Recognition by Correcting Post-recognized Characters

Sovila Srun, Tom Kean, Leap BUN
article en

Abstract

Key Messages The Constitution of Cambodia establishes Khmer as the official language, making accurate digital processing of Khmer documents crucial for national development. Limitations hinder current digital transformation efforts in both public and private sectors in Khmer text recognition technology. Existing Optical Character Recognition (OCR) tools show significant limitations with Khmer script, with common character recognition errors affecting document processing efficiency. Our post-processing correction method improves Khmer OCR accuracy from 93.4 to 96.4%, representing a significant advancement in Khmer text digitization. The proposed solution can be integrated into existing document management systems without requiring extensive infrastructure changes. Government agencies and private organizations can achieve higher efficiency in document digitization while maintaining Khmer language integrity. Government institutions should prioritize the adoption of improved Khmer OCR systems to enhance public service delivery. Investment in Khmer language digital tools will support Cambodia’s digital transformation goals while preserving its linguistic heritage.

Insight Cambodia Journal of Basic and Applied ResearchVol. 6(2)
Royal University of Phnom Penh (KH)
Southern Federal University
Openalex Percentile: Top 72%
Handwritten Text Recognition Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.