This paper presents a system for Myanmar text extraction and recognition from warning signboard images taken by a mobile phone camera. Camera captured natural images have numerous difficulties compared to the traditional scanned documents. Common problems for camera captured text extraction are variations in font style, size, color orientation, illumination condition as well as the complex background. In this system, color enhancement process is performed to distinguish the foreground text and background color. Color enhanced images are converted into binary images using color threshold range.
Kyi Pyar Zaw, Zin Mar Kyu (2018); Camera Captured based Myanmar Character Recognition Using Dynamic Blocking and Chain Code Normalization; International Journal of Scientific and Research Publications (IJSRP)
8(8) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.8.8.2018.p8033