In another major contribution of this paper, we applied the Markov random field (MRF) modeling to the binarization problem. The MRF can precisely describe the constraint of local smoothness in the image. We can also use the constraint of smoothness to remove the grid from the form image, which is a very useful application in form image preprocessing. This research work virtually addresses a general topic in the preprocessing of degraded handwritten document images. Applications in both handwriting recognition and handwritten document image retrieval can benefit from our approach.Inspired by the success of applications in the above two areas, in this thesis, we investigate methods that aim at improving the performance of retrieving handwritten document images. Unlike the retrieval of machine-printed documents fromanbsp;...
|Title||:||Indexing and Retrieval of Low Quality Handwritten Documents|
|Publisher||:||ProQuest - 2008|