NDLI: Update strategies for HMM-based dynamic signature biometric systems

Content Provider	IEEE Xplore Digital Library
Author	Tolosana, R. Vera-Rodriguez, R. Ortega-Garcia, J. Fierrez, J.
Copyright Year	2015
Description	Author affiliation: Biometric Recognition Group, Univ. Autonoma de Madrid, Cantoblanco, Spain (Tolosana, R.; Vera-Rodriguez, R.; Ortega-Garcia, J.; Fierrez, J.)
Abstract	Biometric authentication on devices such as smartphones and tablets has increased significantly in the last years. One of the most acceptable and increasing traits is the handwriting signature as it has been used in financial and legal agreements scenarios for over a century. Nowadays, it is frequent to sign in banking and commercial areas on digitizing tablets. For these reasons, it is necessary to consider a new scenario where the number of training signatures available to generate the user template is variable and besides it has to be taken into account the lap of time between them (inter-session variability). In this work we focus on dynamic signature verification. The main goal of this work is to study system configuration update strategies of time functions-based systems such as Hidden Markov Model (HMM) and Gaussian Mixture Models (GMM). Therefore, two different cases have been considered. First, the usual case of having an HMM-based system with a fixed configuration (i.e. Baseline System). Second, an HMM-based and GMM-based systems whose configurations are optimized regarding the number of training signatures available to generate the user template. The experimental work has been carried out using an extended version of the Signature Long-Term database taking into account skilled and random or zero-effort forgeries. This database is comprised of a total of 6 different sessions distributed in a 15-month time span. Analyzing the results, the Proposed Systems achieve an average absolute improvement of 4.6% in terms of EER(%) for skilled forgeries cases compared to the Baseline System whereas the average absolute improvement for the random forgeries cases is of 2.7% EER. These results show the importance of optimizing the configuration of the systems compared to a fixed configuration system when the number of training signatures available to generate the user template increases.
Starting Page	1
Ending Page	6
File Size	1420781
Page Count	6
File Format	PDF
e-ISBN	9781467368025
DOI	10.1109/WIFS.2015.7368583
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Biometrics Biometrics (access control) GMM HMM Training Dynamic signature Time functions-based system Databases Hidden Markov models Authentication System configuration update Forgery Signature Long-Term database
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

Increasing the robustness of biometric templates for dynamic signature biometric systems

On The Effects of Sampling Rate and Interpolation in HMM-Based Dynamic Signature Verification

Hidden Markov Models for Spoken Signature Verification

Bioconvolving: Cancelable templates for a multi-biometrics signature recognition system

HMM Based Signature Identification System Robust to Changes of Signatures with Time

Template protection for hmm-based on-line signature authentication.

Comparative analysis of off-line signature recognition

Update Strategies for HMM-Based Dynamic Signature Biometric Systems

A hybrid system for signature verification

Update strategies for HMM-based dynamic signature biometric systems

Similar Documents

Increasing the robustness of biometric templates for dynamic signature biometric systems

On The Effects of Sampling Rate and Interpolation in HMM-Based Dynamic Signature Verification

Hidden Markov Models for Spoken Signature Verification

Bioconvolving: Cancelable templates for a multi-biometrics signature recognition system

HMM Based Signature Identification System Robust to Changes of Signatures with Time

Template protection for hmm-based on-line signature authentication.

Comparative analysis of off-line signature recognition

Update Strategies for HMM-Based Dynamic Signature Biometric Systems

A hybrid system for signature verification

Update strategies for HMM-based dynamic signature biometric systems