• DocumentCode
    2142459
  • Title

    A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur

  • Author

    Wei, Hongxi ; Gao, Guanglai ; Bao, Yulai

  • Author_Institution
    Sch. of Comput. Sci., Inner Mongolia Univ., Hohhot, China
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    88
  • Lastpage
    92
  • Abstract
    According to characteristics of Mongolian word-formation, a method for removing inflectional suffixes from word images of the Mongolian Kanjur is proposed in this paper. By removing inflectional suffixes, the amount of clusters equivalent indexing terms might be reduced in word spotting. For the above purpose, we need to determine whether or not one word image contains inflectional suffix. If the word image contains inflectional suffix, the inflectional suffix would be segmented from the word image. The proposed method is as follows: first, many parts are segmented from the bottom of the word image according to the cutting positions of the inflectional suffixes. Then, the segmented parts are represented by a number of profile features and classified by multi-BP neural networks. Finally, the outputs of BP are confirmed by template matching using DTW. Experimental results on our data set prove the feasibility of the proposed method.
  • Keywords
    backpropagation; document image processing; history; image classification; image matching; image segmentation; Mongolian Kanjur; Mongolian word formation; dynamic time warping; historical document; image classification; indexing terms; inflectional suffix removal; inflectional suffix segmentation; multiBP neural network; profile feature; template matching; word images; word spotting; Accuracy; Feature extraction; Image segmentation; Indexing; Neurons; Text analysis; Vectors; BP neural network; Mongolian Kanjur; inflectional suffix; template matching; word soptting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.27
  • Filename
    6065282