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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5622
Title: Fast recognition and verification of 3D air signatures using convex hulls
Authors: Behera S.K.
Dogra D.P.
Pratim Roy, Partha
Published in: Expert Systems with Applications
Abstract: Recognition of signature is a method of identification, whereas verification takes the decision about its genuineness. Though recognition and verification both play important role in forensic sciences, however, recognition is of special importance to the banking sectors. In this paper, we present a methodology to analyse 3D signatures captured using Leap motion sensor with the help of a new feature-set extracted using convex hull vertices enclosing the signature. We have used k-NN and HMM classifiers to classify signatures. Experiments carried out using our dataset as well as publicly available datasets reveal that the proposed feature-set can reduce the computational burden significantly as compared to existing features. It has been observed that a 10-fold computational gain can be achieved with non-noticeable loss in performance using the proposed feature-set as compared with the existing high-level features due to significant reduction in the feature vector size. On a large dataset of 1600 samples, two of the existing features take approximately 60s and 3s to recognise signatures using k-NN and HMM classifiers. However, features constructed using convex hull vertices take 1.9s and 0.4s, respectively. Our proposed system can be used in applications where recognition and verification need to be performed quickly on large datasets comprising with billions of samples. © 2018 Elsevier Ltd
Citation: Expert Systems with Applications (2018), 100(): 106-119
URI: https://doi.org/10.1016/j.eswa.2018.01.042
http://repository.iitr.ac.in/handle/123456789/5622
Issue Date: 2018
Publisher: Elsevier Ltd
Keywords: 3D sequence analysis
Convex hull
Signature recognition
Signature verification
ISSN: 9574174
Author Scopus IDs: 37057132600
35408975400
56880478500
Author Affiliations: Behera, S.K., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 751013, India
Dogra, D.P., School of Electrical Science, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 751013, India
Roy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Corresponding Author: Behera, S.K.; School of Electrical Science, Indian Institute of Technology BhubaneswarIndia; email: sb29@iitbbs.ac.in
Appears in Collections:Journal Publications [CS]

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