Abstract
Since last few years, Handwritten Signature Authentication is a classical research work area in the line of Computer Science. Various new techniques of Image Analysis also attracting the Computer Scientists as well. Firstly, Pixel clustering is used to transform the signature image into bi-color image. Then secondly, instead of considering the whole image, only signature area is extracted. Thirdly, by using Image scaling technique the signature image resized along the coordinate directions. As different techniques are used to subsample (image after transformation) which will be discussed in turn. Fourthly, a different technique is used for thinning to reduce the threshold output of an edge detector algorithm is used to lines of a single pixel thickness. In this paper we propose the above mentioned series of techniques as the preprocessing analysis part of Handwritten Signature Recognition.
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References
Young, T., Gerbrands, J.J., van Vliet, L.J.: Morphology-based Operations, http://www.ph.tn.tudelft.nl/Courses/FIP/noframes/fip-Morpholo.html (last visited on May 16, 2009)
Bloomberg, D.S., Vincent, L.: Pattern Matching using the Blur Hit-Miss Transform. Journal of Electronic Imaging 9(2), 140–150 (2000)
Serra, J., Vincent, L.: An Overview of Morphological Filtering. Circuits, Systems and Signal Processing 11(1), 47–108 (1992)
Bloomberg, D.S., Vincent, L.: Blur Hit-Miss Transform and its Use in Document Image Pattern Detection. In: Proceedings of SPIE, Document Recognition II, San Jose, CA, March 30, vol. 2422, pp. 278–292 (1995)
Al-Otum, H.M., Uraikat, M.T.: Color image morphology using an adaptive saturation-based technique. Optical Engineering, Journal of SPIE 43(06), 1280–1292 (2004)
Dutta Majumder, D., Chanda, B.: Digital Image Processing and Analysis. Prentice-Hall of India Pvt. Ltd., Englewood Cliffs (2006)
Zimmer, A., Ling, L.L.: A Hybrid On/Off Line Handwritten Signature Verification System. In: International Conference on Document Analysis and Recognition, Edinburgh, Scotland, August 3-6, vol. 1, pp. 424–428 (2003)
Kashi, R.S., Turin, W., Nelson, W.L.: On-line handwritten signature verification using stroke direction coding. In: Optical Engineering, SPIE Digital Library, vol. 35, pp. 2526–2533 (1996)
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Kim, Th. (2010). Processing of Handwritten Signature Image for Authentication. In: Kim, Th., Stoica, A., Chang, RS. (eds) Security-Enriched Urban Computing and Smart Grid. SUComS 2010. Communications in Computer and Information Science, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16444-6_16
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DOI: https://doi.org/10.1007/978-3-642-16444-6_16
Publisher Name: Springer, Berlin, Heidelberg
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