Automated Forgery Detection in Multispectral Document Images Using Fuzzy Clustering

2018 13th IAPR International Workshop on Document Analysis Systems (DAS) ◽

10.1109/das.2018.26 ◽

2018 ◽

Cited By ~ 11

Author(s):

Muhammad Jaleed Khan ◽

Adeel Yousaf ◽

Khurram Khurshid ◽

Asad Abbas ◽

Faisal Shafait

Keyword(s):

Fuzzy Clustering ◽

Document Images ◽

Forgery Detection

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Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) ◽

10.1109/cvprw50498.2020.00339 ◽

2020 ◽

Author(s):

Abderrahmane Rahiche ◽

Mohamed Cheriet

Keyword(s):

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix ◽

Document Images ◽

Forgery Detection

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A dataset for forgery detection and spotting in document images

2017 Seventh International Conference on Emerging Security Technologies (EST) ◽

10.1109/est.2017.8090394 ◽

2017 ◽

Cited By ~ 2

Author(s):

Nicolas Sidere ◽

Francisco Cruz ◽

Mickal Coustaty ◽

Jean-Marc Ogier

Keyword(s):

Document Images ◽

Forgery Detection

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Deep learning for automated forgery detection in hyperspectral document images

Journal of Electronic Imaging ◽

10.1117/1.jei.27.5.053001 ◽

2018 ◽

Vol 27 (05) ◽

pp. 1 ◽

Cited By ~ 11

Author(s):

Muhammad Jaleed Khan

Keyword(s):

Deep Learning ◽

Document Images ◽

Forgery Detection

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Segmentation Of Document Images Using Different Methods Like K-Mean Clustering And Fuzzy Clustering

2021 International Conference on Computer Communication and Informatics (ICCCI) ◽

10.1109/iccci50826.2021.9402546 ◽

2021 ◽

Author(s):

Shanta S. Chikkond ◽

Rajashekhar Salagar ◽

Shriharsha S. Veni

Keyword(s):

Fuzzy Clustering ◽

Document Images

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Localized forgery detection in hyperspectral document images

2015 13th International Conference on Document Analysis and Recognition (ICDAR) ◽

10.1109/icdar.2015.7333811 ◽

2015 ◽

Cited By ~ 10

Author(s):

Zhipei Luo ◽

Faisal Shafait ◽

Ajmal Mian

Keyword(s):

Document Images ◽

Forgery Detection

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A gait nomogram used with fuzzy clustering to monitor functional status of children and young adults with cerebral palsy

Developmental Medicine & Child Neurology ◽

10.1017/s0012162205000745 ◽

2005 ◽

Vol 47 (6) ◽

pp. 377-383 ◽

Cited By ~ 13

Author(s):

Christopher L Vaughan ◽

Mark J O'Malley

Keyword(s):

Young Adults ◽

Cerebral Palsy ◽

Functional Status ◽

Fuzzy Clustering ◽

Children And Young Adults

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The Analysis of Traffic Flow State on Foggy Expressway Based on Fuzzy Clustering

ICCTP 2009 ◽

10.1061/41064(358)56 ◽

2009 ◽

Cited By ~ 1

Author(s):

Jianjun Wang ◽

Chenfeng Xie ◽

Zhenwen Chang ◽

Jingjing Zhang

Keyword(s):

Traffic Flow ◽

Fuzzy Clustering ◽

Flow State

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Highway Travel Decision Model Based on Trip Time Reliability and Fuzzy Clustering

CICTP 2020 ◽

10.1061/9780784483053.041 ◽

2020 ◽

Author(s):

Jiao-Na Chen ◽

Xiang Zhang

Keyword(s):

Fuzzy Clustering ◽

Decision Model ◽

Model Based ◽

Trip Time ◽

Travel Decision

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Simple and Efficient Document Image Binarization Technique For Degraded Document Images

International Journal of Scientific Research ◽

10.15373/22778179/may2014/65 ◽

2012 ◽

Vol 3 (5) ◽

pp. 217-220

Author(s):

Manju Joseph ◽

◽

Jijina K.P Jijina K.P

Keyword(s):

Document Image ◽

Document Images ◽

Image Binarization ◽

Document Image Binarization ◽

Degraded Document

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A Novel Fuzzy Clustering Algorithm Based on K-Means Algorithm

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i10.1639 ◽

2014 ◽

Vol 9 (10) ◽

pp. 1731

Author(s):

Dhayalan Vanisri

Keyword(s):

Fuzzy Clustering ◽

Clustering Algorithm ◽

Fuzzy Clustering Algorithm

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