• DocumentCode
    1697853
  • Title

    Locating text in color documents

  • Author

    Strouthopoulos, C. ; Papamarkos, N. ; Atsalakis, A. ; Chamzas, C.

  • Author_Institution
    Dept. of Electr. & Comput., Democritus Univ. of Thrace, Xanthi, Greece
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1066
  • Abstract
    In complex color documents, text, drawings and graphics occur with millions of different colors. In many cases, text regions are overlaid onto drawings or graphics. A new method is proposed for the automatic detection and extraction of text in mixed type color documents. The proposed method is based on a combination of an adaptive color reduction (ACR) technique and a page layout analysis (PLA) approach. The ACR technique is used to obtain the optimal number of colors. Then, the image is split to separable binary images, each one corresponding to every principal color. The PLA technique is applied independently to each one of the color planes and identifies the text regions. A merging procedure is applied in the final stage to merge the text regions derived from the color planes and to produce the final document
  • Keywords
    adaptive systems; document image processing; feature extraction; image colour analysis; image recognition; merging; adaptive color reduction; binary images; color documents; color planes; merging procedure; page layout analysis; text detection; text extraction; text regions; Computer graphics; Engineering drawings; Gray-scale; Image color analysis; Image segmentation; Layout; Merging; Programmable logic arrays; Quantization; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959233
  • Filename
    959233