By El-Fathi El-Mejbri, Hans Grabowski, Harald Kunze, Ralf-Stefan Lossack, Arno Michelis (auth.), Dorothea Blostein, Young-Bin Kwon (eds.)
This e-book offers refereed and revised papers offered at GREC 2001, the 4th IAPR overseas Workshop on images popularity, which happened in Kingston, Ontario, Canada in September 2001. pictures popularity is a department of record picture research that specializes in the popularity of two-dimensional notations corresponding to engineering drawings, maps, mathematical notation, track notation, tables, and chemical constitution diagrams. as a result of the starting to be call for for either o?-line and online record reputation structures, the ?eld of portraits popularity has an excitingand promisingfuture. The GREC workshops provide a chance for researchers in any respect degrees of expertise to percentage insights into pictures acceptance equipment. The workshops get pleasure from strongparticipation from researchers in either and academia. they're backed by means of IAPR TC-10, the Technical Committee on photographs Recog- tion in the overseas organization for development attractiveness. Edited v- umes from the former 3 workshops during this sequence can be found as Lecture Notes in laptop technological know-how, Vols. 1072, 1389, and 1941. After the GREC 2001 workshop, authors have been invited to put up more desirable types in their papers for overview. each paper was once evaluated by way of 3 reviewers. we're thankful to either authors and reviewers for his or her cautious paintings in this evaluation approach. a few of the papers that seem during this quantity have been completely revised and more desirable, according to reviewers’ suggestions.
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Additional resources for Graphics Recognition Algorithms and Applications: 4th International Workshop, GREC 2001 Kingston, Ontario, Canada, September 7–8, 2001 Selected Papers
Example text
For the image on the left, how would you label figure/ground? For the image on the right, are the horizontal lines parallel or do they slope? , 300 or 400 dpi. For electronic documents, there is ample choice. Documents intended for human consumption (printing or display) are often encoded in PostScript (PS) or Portable Document Format (PDF). At a given spatial sampling rate, these are lossless encodings and can be converted to bitmaps. PS and PDF are seldom used as input for document recognition experiments because the mapping to a pixel array is many-to-one.
4). 1 Form Classification Based on Partial Matching Partition of Form and Feature Extraction Form partition is performed by using the identified structures of all the types of forms to be processed. The form document must be partitioned so that the feature of the form can be extracted robustly. Partitioning must also meet the requirement of conferring stability to forms and matching areas that are in transition. The location and the starting/ending point of the lines in a form should be considered to solve these problems.
A New Recognition Method of Black Ruled Line Form including Connected Handwritten Numerals, Proc. of GREC’97, pp. 152-159 (1997). 36 D. Nishiwaki et al: An Improvement of Numeral String Recognition Performance on Black Ruled Line Forms using Character Touching Type Verification, Proc. of GREC’99, pp. 168-175 (1999). 36 D. Lopresti and G. Nagy: Automated Table Processing: An (Opinionated) Survey, Proc. of GREC’99, pp. 109-134 (1999). 36 R. O. Duda and P. E. Hart: Using the Hough transform to detect lines and curves in pictures, Commun.