| The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS, including its subseries LNAI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work, research projects, technical reports, etc.) |
| technical drawings and forms 3d reconstruction of paper based assembly drawings: state of the art and approach interpretation of low-level cad data for knowledge extraction in early design stages knowledge-based partial matching: an efficient form classification method robust frame extraction and removal for processing form documents validation, user interfaces issues in ground-truthing graphic documents sketch-based user interface for inputting graphic objects on small screen devices experimental evaluation of a trainable scribble recognizer for calligraphic interfaces user interfaces for on-line diagram recognition symbol segmentation and recognition symbol recognition: current advances and perspectives an error-correction graph grammar to recognize texture symbols perceptual organization perceptual organization as a foundation for graphics recognition exploiting perceptual grouping for map analysis, understanding and generalization: the case of road and river networks extraction of contextual information existing among component elements of origami books map recognition text/graphics separation in maps semantic analysis and recognition of raster-scanned color cartographic images . structure based interpretation of unstructured vector maps generating logic descriptions for the automated interpretation of topographic maps graphics recognition technology scan-to-xml: using software component algebra for intelligent document generation interpreting sloppy stick figures by graph rectification and constraint-based matching using a generic document recognition method for mathematical formulae recognition interpreting line drawing images: a knowledge level perspective …… vectorizaion and early processing math notation，charts，music notation arc segmentation contest author index |
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