We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
Logical entity recognition in heterogeneous collections of document page images remains a challenging problem since the performance of traditional supervised methods degrade drama...
This paper presents a region-representation scheme and comparative analysis methods based on a tesseral addressing system. The proposed scheme is described in the context of perfo...
In the AllRight project, we are developing an algorithm for unsupervised table detection and segmentation that uses the visual rendition of a Web page rather than the HTML code. O...
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...