Abstract:
Image enhancement processing step is the basic
crucial part of the OCR system as the recognition
accuracy of OCR systems greatly depends on the
quality of the input text image. Most of the OCR
systems, especially Myanmar OCR systems are little
effort for preprocessing or image enhancement
process. And Myanmar glyphs are complex in shape;
combine with many circular, dots and line and pixel
distribution to form this scripts are not uniform.
Therefore, making the input image to be better is
important for our native OCR system. In this paper
we propose image enhancement processes suit that,
through reducing noise, separating text and
background, skew detection and rotation, improves
the accuracy of the OCR System for Myanmar
printed text. These steps can produce a refined image
that is ready for the segmentation or character
extraction process of the OCR system.
