NDLI: Off-line signature verification using curve fitting algorithm with neural networks

Content Provider	IEEE Xplore Digital Library
Author	Shah, V. Sanghavi, U. Shah, U.
Copyright Year	2013
Description	Author affiliation: Dwarkadas J. Sanghvi Coll. of Eng., Mumbai, India (Shah, V.; Sanghavi, U.; Shah, U.)
Abstract	As signature is widely used as a means of personal verification, it is necessary for an automatic verification system. Offline and Online are two methods of verification based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. Processing Off-line is complex due to the absence of stable dynamic characteristics and also due to highly stylish and unconventional writing styles. A simple and a reliable system has to be designed which should detect various types of forgeries. Hence this paper proposes architecture for off-line signature verification. Our approach makes use of runtime signature instead of scanned images for recognition. This Offline verification of signatures uses a set of shape based geometric features and more importantly focuses on the distance based parameters such as the continuity of the signature and matching of the curves of the signatures generated by the critical points of the respective signature by analyzing the polynomial equation. Curve fitting and the analyzing of polynomial equations is one of the least explored topics till date but yet very efficient and hence we have implement this novel technique.
Sponsorship	IEEE Bombay Sect.
Starting Page	1
Ending Page	5
File Size	400136
Page Count	5
File Format	PDF
ISBN	9781467356183
e-ISBN	9781467356190
DOI	10.1109/ICAdTE.2013.6524770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-23
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analysis of polynomial equations Edge points Centre of gravity Base angle inclination Cross points Aspect ratio Normalized area of the signature Looplength Neural networks Feature extraction Forgery Polynomials Matching of curves Curve fitting Distance Continuity breaks
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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