• DocumentCode
    3460123
  • Title

    Image Feature Based Method for Mail Retrieval

  • Author

    Du, Yuxiao ; Lu, Yue

  • Author_Institution
    Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai, China
  • fYear
    2010
  • fDate
    21-23 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A mail retrieval method based on image feature is an innovative approach by which the postal department can realize the query of mail information. The paper chooses envelope images with handwritten address characters as retrieval object. Through a series of researches on a large number of image features, we select partition-block image feature, projection histogram feature and SIFT feature to construct feature vector. In order to accelerate processing speed, we optimize the retrieval procedure by matching feature component in multiple levels. The experimental results and comparative analysis have demonstrated that the precision of the proposed retrieval system reaches at least 99%, which proves the practicability and robustness of the method.
  • Keywords
    feature extraction; handwriting recognition; image retrieval; postal services; SIFT feature; handwritten address characters; image feature based method; mail information query; mail retrieval; partition block image feature; postal department; projection histogram feature; Acceleration; Delta modulation; Electronic mail; Histograms; Image retrieval; Postal services; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (CCPR), 2010 Chinese Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-7209-3
  • Electronic_ISBN
    978-1-4244-7210-9
  • Type

    conf

  • DOI
    10.1109/CCPR.2010.5659448
  • Filename
    5659448