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.