• DocumentCode
    2474232
  • Title

    A novel form structure extraction method using strip projection

  • Author

    Chen, Jim-Lin ; Lee, Hsi-Jian

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • Volume
    3
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    823
  • Abstract
    A form processing system aims to extract meaningful data from a form document for office automation. To locate the data, we have to extract and understand the form structure. In this paper, a strip projection method is presented for extracting form structure. We first segment the input form image uniformly into vertical and horizontal strips. Since most lines in a form are vertical and horizontal lines, we project the image in each vertical strip horizontally and in each horizontal strip vertically. The peak positions in the projection profiles denote the possible existence of lines in the form image. Next we trace the lines started from the possible line positions in the source image. After all lines are extracted, redundant lines are removed by a line verification algorithm and broken lines are linked by a line merging algorithm. This proposed method can reduce much computation time than other methods such as Hough transformation and line detection and approximation algorithm. Experimental results demonstrate that the proposed method is very effective
  • Keywords
    computational complexity; document image processing; feature extraction; image segmentation; office automation; redundancy; broken line linkage; form processing system; form structure extraction method; line merging algorithm; line verification algorithm; meaningful data extraction; office automation; redundant line removal; strip projection; Approximation algorithms; Automation; Binary trees; Character recognition; Computer science; Data mining; Image segmentation; Intelligent systems; Strips; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.547283
  • Filename
    547283