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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5635
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dc.contributor.authorGhosh R.-
dc.contributor.authorPratim Roy, Partha-
dc.contributor.authorKumar P.-
dc.date.accessioned2020-10-06T15:56:54Z-
dc.date.available2020-10-06T15:56:54Z-
dc.date.issued2018-
dc.identifier.citationInternational Journal of Information System Modeling and Design (2018), 9(1): 21-55-
dc.identifier.issn19478186-
dc.identifier.urihttps://doi.org/10.4018/IJISMD.2018010102-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/5635-
dc.description.abstractSecure authentication is a vital component for device security. The most basic form of authentication is by using passwords. With the evolution of smart devices, selecting stronger and unbreakable passwords have become a challenging task. Such passwords if written in native languages tend to offer improved security since attackers having no knowledge of such scripts finding it hard to crack. This article proposes two zone-wise feature extraction approaches - zone-wise structural and directional (ZSD) and zone-wise slopes of dominant points (ZSDP), to recognize online handwritten script and word in four major Indic scripts - Devanagari, Bengali, Telugu and Tamil. These features have been used separately and in combination in HMM-based platform for recognition purpose. The dimension reduction of the ZSD-ZSDP combination with factor analysis has shown the best performance in all the four scripts. This work can be utilized for setting up the authentication schemes with the Indic scripts' passwords thus rendering it difficult to crack by hackers having no knowledge of such scripts. Copyright © 2018, IGI Global.-
dc.language.isoen_US-
dc.publisherIGI Global-
dc.relation.ispartofInternational Journal of Information System Modeling and Design-
dc.subjectAuthentication-
dc.subjectHMM-
dc.subjectOnline Handwriting-
dc.subjectScript Identification-
dc.subjectSmart Device-
dc.subjectWord Recognition-
dc.subjectZone-Wise Features-
dc.titleSmart device authentication based on online handwritten script identification and word recognition in indic scripts using zone-wise features-
dc.typeArticle-
dc.scopusid36025087600-
dc.scopusid56880478500-
dc.scopusid57194223891-
dc.affiliationGhosh, R., Department of Computer Science and Engineering, National Institute of Technology, Patna, India-
dc.affiliationRoy, P.P., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationKumar, P., Department of Computer Science and Engineering, National Institute of Technology, Patna, India-
Appears in Collections:Journal Publications [CS]

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