Illumination compensation method for unevenly lighted document segmentation

This paper presents a new method for binarizing unevenly lighted document images. An illumination compensation algorithm is proposed to convert the unevenly lighted document to an evenly lighted document. The compensated image is then binarized by applying an improved locally adaptive approach. The method effectively overcomes the difficulty in handling uneven lighting and enhances segmentation quality considerably.