Similarity Checking of Handwritten Signature Using Binary Dotplot Analysis

  • Debnath Bhattacharyya
  • Tai-hoon Kim
Part of the Communications in Computer and Information Science book series (CCIS, volume 151)


In this paper we propose a statistical similarity checking method to identify the similarity between two handwritten signatures. Initially, we process the handwritten signature images in various image processing techniques and store in a magnetic storage device. In turn, during the time of similarity checking, our algorithm generates a binary dotplot matrix for each of the signature image in the storage with the input signature image of a particular user domain. In this paper, these binary dotplot matrices guide us to identify the degree of similarity or homology or duplicate copy of handwritten signature of any user. In this paper we deal with only binary dotplot similarity technique.


Pattern Recognition bio-informatics similarity Image processing binary dotplot 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Debnath Bhattacharyya
    • 1
  • Tai-hoon Kim
    • 2
  1. 1.Computer Science and Engineering DepartmentMPCTGwaliorIndia
  2. 2.Department of MultimediaHannam UniversityDaejeonKorea

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