Illumination enhanced face recognition for smart access system

Anusha Hegde, N. Prathviraj, Nishmitha R. Shetty

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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
Issue number2
Publication statusPublished - 01-02-2019

All Science Journal Classification (ASJC) codes

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


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