Research Article

Review on Face, Ear and Signature for Human Identification

by  Suvarnsing G. Bhable, Sumegh Tharewal, Hanumant Gite, Siddharth Dabhade, K. V. Kale
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Issue 13
Published: Jan 2018
Authors: Suvarnsing G. Bhable, Sumegh Tharewal, Hanumant Gite, Siddharth Dabhade, K. V. Kale
10.5120/ijca2018916250
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Suvarnsing G. Bhable, Sumegh Tharewal, Hanumant Gite, Siddharth Dabhade, K. V. Kale . Review on Face, Ear and Signature for Human Identification. International Journal of Computer Applications. 180, 13 (Jan 2018), 13-21. DOI=10.5120/ijca2018916250

                        @article{ 10.5120/ijca2018916250,
                        author  = { Suvarnsing G. Bhable,Sumegh Tharewal,Hanumant Gite,Siddharth Dabhade,K. V. Kale },
                        title   = { Review on Face, Ear and Signature for Human Identification },
                        journal = { International Journal of Computer Applications },
                        year    = { 2018 },
                        volume  = { 180 },
                        number  = { 13 },
                        pages   = { 13-21 },
                        doi     = { 10.5120/ijca2018916250 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2018
                        %A Suvarnsing G. Bhable
                        %A Sumegh Tharewal
                        %A Hanumant Gite
                        %A Siddharth Dabhade
                        %A K. V. Kale
                        %T Review on Face, Ear and Signature for Human Identification%T 
                        %J International Journal of Computer Applications
                        %V 180
                        %N 13
                        %P 13-21
                        %R 10.5120/ijca2018916250
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics is a rising technology, which has been extensively used in robotics areas financial services, forensics, secured access, prison security, medical, telecommunication, ecommerce, government, traffic, health care the security issue are more essential. Biometric-based personal identification is high applicability in an extensive range of security application but Multimodal biometrics is the way to reduce time density and give better recognition rate. The concert rate of unimodal biometric is frequently reduced due to the user mode and physiological defects. We have referred papers related to face, ear and signature. In this paper, we discuss different methods of Face, Ear and signature for recognition and identification.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Face Ear Signature LDA PCA Borda count method Logistic regression method and Rank level Fusion

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