SVM based scheme for Thai and English script identification

S. Chanda*, Oriol Ramos Terrades, U. Pal

*Corresponding author for this work

Research output: Book/ReportProceedingResearchpeer-review

30 Citations (Scopus)


In some Thai documents, a single text line of a document page may contain both Thai and English scripts. For the Optical Character Recognition (OCR) of such a document page it is better to identify, at first, Thai and English script portions and then to use individual OCR system of the respective scripts on these identified portions. In this paper, a SVM based method is proposed for identification of word-wise printed English and Thai scripts from a single line of a document page. Here, at first, the document is segmented into lines and then lines are segmented into character groups (words). In the proposed scheme, we identify the script of the individual character group combining different character features obtained from structural shape, profile, component overlapping information, topological properties, water reservoir concept etc. Based on the experiment on 6110 data we obtained 99.36% script identification accuracy from the proposed scheme.

Original languageEnglish
Number of pages5
Publication statusPublished - 2007

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)1520-5363


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