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Proceedings Paper

Offline signature verification using local binary pattern and octave pattern
Author(s): Sahil Ahlawat; Anubhav Goel; Surabhi Prasad; Preety Singh
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Paper Abstract

Signature verification holds a significant place in today's world as most of the bank transactions, stock trading etc. are validated via signatures. Signatures are considered as one of the most effective biometric identity but unfortunately signature forgery attempts are quite rampant. To prevent this, a robust signature verification mechanism is essential. In this paper, a new method has been proposed which uses Local Binary Pattern and geometrical features. A new geometric property has been devised i.e. Octave Pattern. Performance is analyzed by comparing random, semi-skilled and skilled forgeries with the genuine signature.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906913 (10 January 2014); doi: 10.1117/12.2050813
Show Author Affiliations
Sahil Ahlawat, Laxmi Niwas Mittal Institute of Information Technology (India)
Anubhav Goel, Laxmi Niwas Mittal Institute of Information Technology (India)
Surabhi Prasad, Laxmi Niwas Mittal Institute of Information Technology (India)
Preety Singh, Laxmi Niwas Mittal Institute of Information Technology (India)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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