Titlebook: ;

BADGE

Automatic learning and recognition of graphical symbols in engineering drawings,ymbols and the drawings are represented by attributed relational graphs. The recognition process is formulated as a search process for error-tolerant subgraph isomorphisms from the symbol graphs to the drawing graph. In the beginning, there is a limited set of graphic symbols that are known to the s

CYT

A hybrid system for locating and recognizing low level graphic items, also in the presence of high noise, scaling, and rotation. This is accomplished by a hybrid model which performs graphic item location by morphological operations and connected component analysis, and item recognition by a proper connectionist model. Some very promising experimental results are rep

FECK

疾馳

Immunotherapy

Automatic region labeling of the layered map,undaries, it extracts the region names which consist of characters, dots, dashes, and indication lines. It uses two recognition methods to recognize characters in the region name. In the case of recognizing the isolated characters, it uses the open and close features. The characters touching boundar

帶傷害

Verification-based approach for automated text and feature extraction from raster-scanned maps,published approaches for automated interpretation of raster-scanned maps assume that the map is composed of various graphic entities, and that the vast majority of pixel positions on the map each belong to only one type of graphic entity and can therefore be geometrically segmented. However, complex

大門在匯總

paroxysm

covert

https://doi.org/10.1007/978-1-4612-4208-6compositions obtained according to simple rules, within given classes of lines, is assumed as a performance index. Experimental results, obtained using the ETL1 database of handprinted characters, are presented, to demonstrate the representativeness of the considered parameter.

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