NDLI: Regions of interest in static signature verification

Content Provider	IEEE Xplore Digital Library
Author	Johnson, E.P.S. Guest, R.M.
Copyright Year	2012
Description	Author affiliation: School of Engineering and Digital Arts, University of Kent, Canterbury, United Kingdom, CT2 7NT (Johnson, E.P.S.; Guest, R.M.)
Abstract	The identification and subsequent utilisation of regions of interest within biometric sample images can provide useful information that can benefit recognition performance . If a specific area of a biometric sample contains an enhanced quantity of feature information then these regions-of-specific-interest can be exploited for example in terms of processing and information weighting. Also, if intra-area stability/feature repeatability can be obtained apriori this information can be used to enhance biometric systems. The objective of the work documented in this paper is to develop a best practice framework for the utilisation of sub-regions-of-interest within biometric signature images to enable an optimisation of systems. Our hypothesis is that by sub-dividing a signature image, information richness within sub-divisions can be exploited by weighting grid zones. Signature images were divided using 14 experimental template patterns. Using the GPDS-960 off-line signature corpus, the verification performance achieved using each weighted method was compared against a non-gridded baseline implementation. Significant improvements were noted for a number of the defined grid zones indicting the potential for the approach.
Starting Page	1
Ending Page	5
File Size	209106
Page Count	5
File Format	PDF
ISBN	9781467310109
ISSN	16175468
e-ISBN	9783885792901
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-06
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Gesellschaft fr Informatik
Subject Keyword	Training Handwriting recognition Signature verification Static signatures Power system stability Educational institutions Regions of interest Mathematical model Equations Biomedical imaging
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications

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

Dynamic signature verification and the human biometric sensor interaction model

Enhancing off-line biometric signature verification using a fingerprint assessment approach

Verification of Static Signatures by Optical Flow Analysis

Fuzzy modeling based signature verification system

A method for online signature verification based on neural network

On-line signature verification system using probabilistic feature modelling

On-line Signature Verification by Stroke-Dependent Representation Domains

Time/space based biometric handwritten signature verification

Cosine similarity for analysis and verification of static signatures

Regions of interest in static signature verification

Similar Documents

Dynamic signature verification and the human biometric sensor interaction model

Enhancing off-line biometric signature verification using a fingerprint assessment approach

Verification of Static Signatures by Optical Flow Analysis

Fuzzy modeling based signature verification system

A method for online signature verification based on neural network

On-line signature verification system using probabilistic feature modelling

On-line Signature Verification by Stroke-Dependent Representation Domains

Time/space based biometric handwritten signature verification

Cosine similarity for analysis and verification of static signatures

Regions of interest in static signature verification