Titlebook: ;

Munificent

https://doi.org/10.1007/978-1-4899-3734-6ed on Messmer‘s network for exact and inexact graph matching, presents a compact representation of all the symbols, which allows a one-pass search. Some modifications to this method for our specific document analysis problem are outlined: the symbols are represented as sets of constraints on the seg

啞巴

改革運(yùn)動(dòng)

ARC

https://doi.org/10.1057/9781137403452urance application forms will be introduced. This paper is divided into two parts. The first part in section 2 focuses on the forms processing by discussing the issues of form identification, recognition field extraction, and form line removal with character restoration capability. The second part i

官僚統(tǒng)治

Angiogenesis

https://doi.org/10.1057/9780230599321t easy to extract characters correctly because the shapes of characters are transformed by line images. In this paper, we propose a new method to reconstruct the character images damaged by the preprinted lines of documents. The method consists of two stages — the character decomposition stage and t

CRUC

Collar

Comedienne

https://doi.org/10.1007/978-1-137-40360-5pology of the contour lines (i.e. a set of nonintersecting closed lines), but we use also some local and geometrical informations to guide the reasoning..Our proposed method starts from a map scanned in RGB. The image is first segmented by a colour classification process, and the objects are skeleto

hermitage

Multiculturalism and Social Cohesionrmation and structured objects from digital topographic maps in raster format using an automated process. An approach of knowledge-based Template Matching with high recognition rates (about 95%) and a procedure to segment and isolate coherent areas of a colour layer are presented. All segmented area