Abstract
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.
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Bhattacharyya, D., Kim, Th. (2011). Similarity Checking of Handwritten Signature Using Binary Dotplot Analysis. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20998-7_37
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DOI: https://doi.org/10.1007/978-3-642-20998-7_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20997-0
Online ISBN: 978-3-642-20998-7
eBook Packages: Computer ScienceComputer Science (R0)