अमूर्त

Document Image Binarization Using Threshold Segmentation.

Rekha Chaudhari, Dinesh Patil

Binarization is process to generate binary image from document image. Document image binarization has already under research from past many years, and many binarization algorithms have been proposed for different types of degraded document images. Document image Binarization is very popular to upgrade old handwritten and machine printed documents. Still to recover degraded document is very tedious job. Such document has the much damaged also presence of noise and degradation. There is a lot of scope to improve old and degraded documents. Image segmentation is method which used frequently in image processing. Thresholding is an important pre-processing step for the degraded image to enhance their quality. The between the foreground text and the background of different document images is a difficult task. New Binarization method using image segmentation using threshold segmentation is proposed. Proposed method can overcome the drawback of canny edge map.