Recognition of English Calling Card by Using Multiresolution Images and Enhanced ART1-Based RBF Neural Networks

  • Kwang-Baek Kim
  • Sungshin Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


A novel hierarchical algorithm is proposed to recognize English calling cards. The algorithm processes multiresolution images of calling cards hierarchically to firstly extract individual characters and then to recognize the characters by using an enhanced neural network method. The horizontal smearing is applied to a 1/3 resolution image in order to extract the areas. The second vertical smearing and contour tracking masking is applied to a 1/2 resolution image to extract individual characters. And lastly, the original image is used in the recognition step because the image accurately includes the morphological information of the characters precisely. The enhanced RBF network is also proposed to recognize characters with diverse font types and sizes, by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments show that the proposed algorithm greatly improves the character extraction and recognition compared with traditional recognition algorithms.


Individual Character Winner Node Vigilance Parameter Multiresolution Image Propose Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kwang-Baek Kim
    • 1
  • Sungshin Kim
    • 2
  1. 1.Department of Computer Eng.Silla UniversityBusanKorea
  2. 2.School of Electrical and Computer Eng.Pusan National UniversityBusanKorea

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