Supachai TangwongsanBuntida Suvacharakultonศุภชัย ตั้งวงศ์ศานต์บุญธิดา สุวัชระกุลธรMahidol University. Faculty of Science. Department of Computer ScienceMahidol University. Computing Center2012-07-032018-03-282012-07-032018-03-2820099789810830298https://repository.li.mahidol.ac.th/handle/123456789/10435The 6th International Conference on Information Technology and Applications (ICITA 2009), Hanoi, VietnamThis paper proposes a novel approach: word prediction and verification technique for enhancing the recognition performance for printed Thai characters. Instead of attempting to recognize individual characters, the system, named as OCR-WP, is a technique employed to identify whole words by using contextual analysis in order to predict those probable words and verify the right one by template matching. A series of experimental results shows that the OCR-WP could yield a better performance in terms of speed improvement, while still maintaining the quality of error-free accuracy.engN-gramOCRThai character recognitionWord predictionWord verificationProceeding ArticleScopus