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10 January 2014 Offline signature verification using local binary pattern and octave pattern
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Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 906913 (2014) https://doi.org/10.1117/12.2050813
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sahil Ahlawat, Anubhav Goel, Surabhi Prasad, and Preety Singh "Offline signature verification using local binary pattern and octave pattern", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 906913 (10 January 2014); https://doi.org/10.1117/12.2050813
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