Abstract: An image processing system adapted to binarize images is provided. The system includes a component detector configured to receive an image and detect a plurality of components in the image. The components are detected based on a content of the image. Further, the system includes a logical splitter configured to split the image into a plurality of windows based on the plurality of components. The plurality of windows is of varying window sizes. In addition, the system includes a threshold detector configured to determine a binarization threshold value for each window. The system also includes a binarization module configured to binarize a plurality of component images based on the corresponding binarization threshold values of the component. Furthermore, the system includes a logical integrator configured to generate a binarized image. The binarized image is a logically integrated image comprising the plurality of component images.

Abstract: A mark detection system and method is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes an image processor configured to execute the computer-readable instructions to access an image of a document and process the image to generate a binarized image. The image processor is further configured to extract components of the binarized image using a connected-component labelling algorithm. Furthermore, the image processor is configured to analyze features of the extracted components to detect one or more marks in the document.

Abstract: An image processing system adapted to binarize images is provided. The system includes a component detector configured to receive an image and detect a plurality of components in the image. The components are detected based on a content of the image. Further, the system includes a logical splitter configured to split the image into a plurality of windows based on the plurality of components. The plurality of windows is of varying window sizes. In addition, the system includes a threshold detector configured to determine a binarization threshold value for each window. The system also includes a binarization module configured to binarize a plurality of component images based on the corresponding binarization threshold values of the component. Furthermore, the system includes a logical integrator configured to generate a binarized image. The binarized image is a logically integrated image comprising the plurality of component images.

Abstract: A mark detection system and method is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes an image processor configured to execute the computer-readable instructions to access an image of a document and process the image to generate a binarized image. The image processor is further configured to extract components of the binarized image using a connected-component labelling algorithm. Furthermore, the image processor is configured to analyze features of the extracted components to detect one or more marks in the document.