NDLI: Multi-script off-line signature identification

Content Provider	IEEE Xplore Digital Library
Author	Pal, S. Alireza, A. Pal, U. Blumenstein, M.
Copyright Year	2012
Description	Author affiliation: Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, West Bengal, India (Pal, U.) \|\| Computer Science Laboratory (LI, RFAI group), Francois Rabelais University, Tours, France (Alireza, A.) \|\| School of Information and Communication Tech., Griffith University, Gold Coast, Australia (Pal, S.; Blumenstein, M.)
Abstract	In this paper, we present an empirical contribution towards the understanding of multi-script signature identification. In the proposed signature identification system, the signatures of Bengali (Bangla), Hindi (Devanagari) and English are considered for the identification process. This system will identify whether a claimed signature belongs to the group of Bengali, Hindi or English signatures. Zernike Moment and histogram of gradient are employed as two different feature extraction techniques. In the proposed system, Support Vector Machines (SVMs) are considered as classifiers for signature identification. A database of 2100 Bangla signatures, 2100 Hindi signatures and 2100 English signatures are used for experimentation. Two different results based on two different feature sets are calculated and analysed. The highest accuracy of 92.14% is obtained based on the gradient features using 4200 (1400 Bangla +1400 Hindi + 1400 English) samples for training and 2100 (700 Bangla +700 Hindi +700 English) samples for testing.
Starting Page	236
Ending Page	240
File Size	659610
Page Count	5
File Format	PDF
ISBN	9781467351140
e-ISBN	9781467351164
DOI	10.1109/HIS.2012.6421340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Signature Identification Biometrics Off-line system Conferences DH-HEMTs Verification systems Compounds Hybrid intelligent systems SVMs
Content Type	Text
Resource Type	Article

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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
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