NDLI: A survey for handwritten signature verification

Content Provider	IEEE Xplore Digital Library
Author	Sanmorino, A. Yazid, S.
Copyright Year	2012
Description	Author affiliation: Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia (Sanmorino, A.; Yazid, S.)
Abstract	Signature verification is the process used to recognize an individual's handwritten signature. Signature verification can be divided into two main areas depending on the data acquisition method, off-line and on-line signature verification. In this paper we attempt to survey the signature verification based on three categories. First, judging from how to get the data signature which is off-line and on-line verification. Second, based on the technique used, that is rule-based approach, neural networks, hidden markov model and support vector machine. Third, based on preprocessing and feature extraction, which is thinning and line segmentation. Based on the survey, it was concluded that any method of verification has advantages and disadvantages. However, if viewed from the ease of implementation and performance, using neural networks or hidden markov models are the right choice. Depending on the data acquisition method, on-line verification is recommended to use than off-line verification.
Starting Page	54
Ending Page	57
File Size	70115
Page Count	4
File Format	PDF
ISBN	9781467314596
e-ISBN	9781467314602
DOI	10.1109/URKE.2012.6319582
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-14
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Off-line Verification Neural Networks Verification Handwritten Signature Support Vector Machine Handwriting recognition Thinning Hidden Markov models Feature extraction Rule-Based On-line Verification Hidden Markov Model Iris recognition Line Segmentation
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
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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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