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Optoelectronics Letters

, Volume 2, Issue 2, pp 155–157 | Cite as

Location algorithm for seal imprints on Chinese bank-checks based on region growing

  • Chen Li-jiang 
  • Liu Tie-gen 
  • Chen Jia-jia 
  • Zhu Jun-chao 
  • Deng Ji-jie 
  • Ma She-xiang 
Image and Information Processing

Abstract

The paper focuses on location of seal imprints on Chinese bank-checks based on region growing. Region growing method can be applied to searching and locating connection region in an image. A seal imprint, however, is generally composed of various connection regions which are unconnected to each other. In order to locate the seal imprint, these connection regions must be fused together. In the paper, an algorithm for locating seal imprints on Chinese bankchecks based on region growing is proposed, of which a fusion criterion for connection regions in a seal imprint is put forth based on the image feature of Chinese bankcheck, and a center-rays model is proposed to find the topological relationship between connection regions, for which externally-tangent rectangle of region is used as the mark of location of region. The location experiment is achieved with a false-acceptance rate of 7.1% and a false-rejection rate of 0% on Chinese bankcheck.

CLC number

O235 

Document code

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References

  1. [1]
    Seong Whan LEE and Jin H. KIM,Pattern Recognition,22 (1989), 653.CrossRefGoogle Scholar
  2. [2]
    Takahiko Horiuchi, Marc Rioux, and Ryoji Haruki,Pattern Recognition,29 (1996), 719.CrossRefGoogle Scholar
  3. [3]
    Shih-hsu Chang, Fang-hsuan Chen, and Wen-hsing Hsu,Pattern Recognition Letters,20 (1999), 1545.CrossRefGoogle Scholar
  4. [4]
    YANG Xin-jun, WANG Zhao-qi, LIU Wei-yi, and MU Guoguang,Journal of Optoelectronics · Laser,12 (2001), 1177.Google Scholar
  5. [5]
    H. Dana Ballard, and M. Christopher, Brown,Computer Vision, Prentice-Hall, INC., Englewood Cliffs, New Jersey, 1982.Google Scholar
  6. [6]
    Liqiang Wang, Xuxiang Ni, and Zukang Lu,Chinese Optics Letters,1 (2003), 520.ADSGoogle Scholar
  7. [7]
    S.-C. Cheng,IEE Proceedings-Vision, Image and Signal Processing,150 (2003), 270.CrossRefGoogle Scholar
  8. [8]
    Alain Tremeau and Nathalie Borel,Pattern Recognition,30 (1997), 1191.CrossRefGoogle Scholar

Copyright information

© Tianjin University of Technology 2006

Authors and Affiliations

  • Chen Li-jiang 
    • 1
  • Liu Tie-gen 
    • 1
  • Chen Jia-jia 
    • 1
  • Zhu Jun-chao 
    • 1
  • Deng Ji-jie 
    • 1
  • Ma She-xiang 
    • 1
    • 2
  1. 1.College of Precision Instrument and Opto-electronics Engineering, The Key Laboratory of Opto-electronic Information Science and Technology of Ministry of EducationTianjin UniversityTianjinChina
  2. 2.College of Photoelectronics Information and Electronic EngineeringTianjin University of TechnologyTianjinChina

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