Graphology based handwritten character analysis for human behaviour identification-Reference-Cited by-同舟云学术

Graphology based handwritten character analysis for human behaviour identification

Published:2020-02-24 Issue:1 Volume:5 Page:55-65
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Ghosh Subhankar¹,Shivakumara Palaiahnakote²,Roy Prasun¹,Pal Umapada¹,Lu Tong³

Affiliation:

1. Indian Statistical InstituteKolkata700108India

2. Faculty of Computer Science and Information TechnologyUniversity of Malaya50603Kuala LumpurMalaysia

3. National Key Lab for Novel Software TechnologyNanjing University210093NanjingPeople's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/trit.2019.0051

Reference16 articles.

1. Graphology

2. HafemannL.G.SabourinR.OliveiraL. S.: ‘Analyzing features learned for offline signature verification using deep CNNs’.Proc. ICPR Mexico 2016 pp.2989–2994

3. HurtadoO.M.GuestR.StevenageS.V.et al.: ‘The relationship between handwritten signature production and personality traits’.Proc. IJCB USA 2014 pp.1–8

4. GattupalliV.ChandakkarP.S.LiB.: ‘A computational approach to relative aesthetics’.Proc. ICPR Mexico 2016 pp.2446–2451

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