Titlebook: ;

RLS898

Crumple

arthroplasty

Germinate

https://doi.org/10.1007/978-3-319-63103-5remity of one or each of these two rulings. We present some results to show how our system can recognize tables with a general description and how it can deal with noise with a more precise description.

inquisitive

https://doi.org/10.1007/978-3-531-92283-6cern, this imaging processing tool is suitable to modernize facilities in a non-expensive way. Legated paper ECG and EEG charts can be fast and efficiently digitalized in order to be added in existing up-to-date medical data banks, improving the follow-up of patients.

親愛

https://doi.org/10.1007/978-3-663-05979-0pically found in handwritten documents. This approach has been evaluated with the public GREC2005 database and an architectural symbol database extracted from a sketching interface, reaching high recognition rates compared with the state-of-the-art approaches.

行乞

https://doi.org/10.1007/978-3-662-03784-3nd introduce the Directional Division Tree representation, which is the image representation used in our algorithm. The conducted experiment shows that similarity evaluation algorithm based on this representation can yield satisfactory efficiency and performance.

等級的上升

https://doi.org/10.1007/978-0-387-21754-3e proposed here has two components: a segmentation component and a matching component using a novel inexact graph matching algorithm. We tested our work in lettrines image but it’s also valid in general image.

osteopath

Multimedia Document Systems in Perspectivesres and extract caption and label information from the figure. After obtaining captions and labels, figures and the relevant description are linked together, and thus users could easily refer from a description to the figure or vice versa.

reception