Illumination enhanced face recognition for smart access system

Anusha Hegde, N. Prathviraj, Nishmitha R. Shetty

Research output: Contribution to journalArticle

Abstract

Principle Component Analysis (PCA) is a widely used technique in the field of face recognition. Any system will have its own pros and cons. One of the disadvantages of PCA is its bonding with the light variation. By focusing on this issue, an improved algorithm is proposed by combining PCA with the Fast Fourier Transofrm-2. This solution is then applied to a real time environment which provides the smart access to the house. The user interface is provided using the Android application installed on the user’s smart phone. The communication between the smart access system and the application can happen remotely. The mechanical door lock is controlled using the system which can receive and transmit the command.

Original languageEnglish
Pages (from-to)501-510
Number of pages10
JournalInternational Journal of Mechanical Engineering and Technology
Volume10
Issue number2
Publication statusPublished - 01-02-2019
Externally publishedYes

Fingerprint

Face recognition
Lighting
User interfaces
Communication

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

Hegde, Anusha ; Prathviraj, N. ; Shetty, Nishmitha R. / Illumination enhanced face recognition for smart access system. In: International Journal of Mechanical Engineering and Technology. 2019 ; Vol. 10, No. 2. pp. 501-510.
@article{314c4db41f364554bdaf6525382ba707,
title = "Illumination enhanced face recognition for smart access system",
abstract = "Principle Component Analysis (PCA) is a widely used technique in the field of face recognition. Any system will have its own pros and cons. One of the disadvantages of PCA is its bonding with the light variation. By focusing on this issue, an improved algorithm is proposed by combining PCA with the Fast Fourier Transofrm-2. This solution is then applied to a real time environment which provides the smart access to the house. The user interface is provided using the Android application installed on the user’s smart phone. The communication between the smart access system and the application can happen remotely. The mechanical door lock is controlled using the system which can receive and transmit the command.",
author = "Anusha Hegde and N. Prathviraj and Shetty, {Nishmitha R.}",
year = "2019",
month = "2",
day = "1",
language = "English",
volume = "10",
pages = "501--510",
journal = "International Journal of Mechanical Engineering and Technology",
issn = "0976-6340",
publisher = "IAEME Publication",
number = "2",

}

Illumination enhanced face recognition for smart access system. / Hegde, Anusha; Prathviraj, N.; Shetty, Nishmitha R.

In: International Journal of Mechanical Engineering and Technology, Vol. 10, No. 2, 01.02.2019, p. 501-510.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Illumination enhanced face recognition for smart access system

AU - Hegde, Anusha

AU - Prathviraj, N.

AU - Shetty, Nishmitha R.

PY - 2019/2/1

Y1 - 2019/2/1

N2 - Principle Component Analysis (PCA) is a widely used technique in the field of face recognition. Any system will have its own pros and cons. One of the disadvantages of PCA is its bonding with the light variation. By focusing on this issue, an improved algorithm is proposed by combining PCA with the Fast Fourier Transofrm-2. This solution is then applied to a real time environment which provides the smart access to the house. The user interface is provided using the Android application installed on the user’s smart phone. The communication between the smart access system and the application can happen remotely. The mechanical door lock is controlled using the system which can receive and transmit the command.

AB - Principle Component Analysis (PCA) is a widely used technique in the field of face recognition. Any system will have its own pros and cons. One of the disadvantages of PCA is its bonding with the light variation. By focusing on this issue, an improved algorithm is proposed by combining PCA with the Fast Fourier Transofrm-2. This solution is then applied to a real time environment which provides the smart access to the house. The user interface is provided using the Android application installed on the user’s smart phone. The communication between the smart access system and the application can happen remotely. The mechanical door lock is controlled using the system which can receive and transmit the command.

UR - http://www.scopus.com/inward/record.url?scp=85063558247&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063558247&partnerID=8YFLogxK

M3 - Article

VL - 10

SP - 501

EP - 510

JO - International Journal of Mechanical Engineering and Technology

JF - International Journal of Mechanical Engineering and Technology

SN - 0976-6340

IS - 2

ER -