NDLI: Signature authentication based on human intervention: performance and complementarity with automatic systems

Content Provider	IET Digital Library
Author	Morales, Aythami Morocho, Derlin Fierrez, Julian Rodriguez, Ruben Vera
Abstract	This work explores human intervention to improve Automatic Signature Verification (ASV). Significant efforts have been made in order to improve the performance of ASV algorithms over the last decades. This work analyzes how human actions can be used to complement automatic systems. Which actions to take and to what extent those actions can help state-of-the-art ASV systems is the final aim of this research line. The analysis at classification level comprises experiments with responses from 500 people based on crowdsourcing signature authentication tasks. The results allow to establish a human baseline performance and comparison with automatic systems. Intervention at feature extraction level is evaluated using a self-developed tool for the manual annotation of signature attributes inspired in Forensic Document Experts analysis. We analyze the performance of attribute-based human signature authentication and its complementarity with automatic systems. The experiments are carried out over a public database including the two most popular signature authentication scenarios based on both online (dynamic time sequences including position and pressure) and offline (static images) information. The results demonstrate the potential of human interventions at feature extraction level (by manually annotating signature attributes) and encourage to further research in its capabilities to improve the performance of ASV.
Starting Page	307
Ending Page	315
Page Count	9
ISSN	20474938
Volume Number	6
e-ISSN	20474946
Issue Number	Issue 4, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/6/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2016.0115
Journal	IET Biometrics
Publisher Date	2017-07-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	AS Authentication System Improvement AS Verification System ASV System Attribute-based Human Signature Authentication Automatic Signature Authentication System Improvement Classification Level Computer Vision And Image Processing Technique Crowdsourced Signature Authentication Task Crowdsourcing Dynamic Time Sequences Feature Extraction Feature Extraction Level Forensic Document Examiner Analysis Handwriting Recognition Human Actions Human Intervention Image Annotation Image Classification Image Forensics Image Recognition Manually Annotated Signature Attributes Offline Information Online Information Public Database Signature Attributes Spatial And Pictorial Database Static Image Visual Database
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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

Thai Automatic signature verification System Employing Textural Features

Online signature verification using segment-level fuzzy modelling

Cosine similarity for analysis and verification of static signatures

Assessment of methods for image recreation from signature time-series data

Mobile signature verification: feature robustness and performance comparison

Robust feature extraction and salvage schemes for finger texture based biometrics

Biometric authentication based on 2D/3D sensing of forensic handwriting traces

Ensemble classifier-based off-line handwritten word recognition system in holistic approach

Multi-feature extraction and selection in writer-independent off-line signature verification

Signature authentication based on human intervention: performance and complementarity with automatic systems

Similar Documents

Thai Automatic signature verification System Employing Textural Features

Online signature verification using segment-level fuzzy modelling

Cosine similarity for analysis and verification of static signatures

Assessment of methods for image recreation from signature time-series data

Mobile signature verification: feature robustness and performance comparison

Robust feature extraction and salvage schemes for finger texture based biometrics

Biometric authentication based on 2D/3D sensing of forensic handwriting traces

Ensemble classifier-based off-line handwritten word recognition system in holistic approach

Multi-feature extraction and selection in writer-independent off-line signature verification

Signature authentication based on human intervention: performance and complementarity with automatic systems