Abstract
Signatures were considered an important tool for authenticating the identity of human beings. So, signature verification was one of the biggest uses for that. We proposed an algorithmic approach for the verification of handwritten signatures by applying some statistical methods. The research work was based on the collection of set of signatures from which an average signature was obtained based on our algorithm and then taking decision of acceptance after analyzing the correlation in between the sample signature and the average signature.
Highlights
Signatures are composed of special characters and flourishes and most of the time they can be unreadable
To verify an entered signature with the help an average signature, which is obtained from the set of, previously collected signatures, we have followed the concept of correlation to find out the amount of divergence in between them
The algorithm proposed in this paper is basically deals with the scheme of handwritten signature verification in an offline system, but it can be realized as the verification method of extended online for the verification of the handwritten signature by comparing with a standard signature, which is obtained by applying statistical analysis on a set of signatures
Summary
Signatures are composed of special characters and flourishes and most of the time they can be unreadable. Various methods have already been introduced in this field and application of Statistical models is one of them in this regard. We can perform the relation, deviation, etc between two or more data items. To find out the relation between some set of data items we generally follow the concept of Correlation Coefficients. Correlation or correlation refers to the departure of two variables from independence, correlation does not imply causation. Our approach is based on the above concept. To verify an entered signature with the help an average signature, which is obtained from the set of, previously collected signatures, we have followed the concept of correlation to find out the amount of divergence in between them. Based on some predefined divergence, we have taken the decision of acceptance of the entered signature
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
