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Author

M. Karunagaran

Bio: M. Karunagaran is an academic researcher from VIT University. The author has contributed to research in topics: Fingerprint (computing) & Facial recognition system. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.

Papers
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Proceedings ArticleDOI
01 Dec 2017
TL;DR: A combinational method which uses a faster algorithm, Kanade Lucas Tomasi (KLT) for quick verification and a two-step security system, face, Principal component analysis (PCA) and finger print for a more accurate verification is suggested.
Abstract: Security systems are becoming an integral part of our environment, having a secure and accurate security system is of utmost importance. This paper suggests a combinational method which uses a faster algorithm, Kanade Lucas Tomasi (KLT) for quick verification and a two-step security system, face, Principal component analysis (PCA) and finger print for a more accurate verification.

2 citations


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Proceedings ArticleDOI
19 Mar 2020
TL;DR: The main objective of this survey paper is to compare the multiple algorithms used for facial recognition.
Abstract: Facial Recognition System is a computer technology that uses a variety of algorithms that identify the human face in digital images, identify the person and then verify the captured images by comparing them with the facial images stored in the database. Facial recognition is an important topic in computer vision, and many researchers have studied this topic in many different ways; it is important especially in some applications such as surveillance systems. The main objective of this survey paper is to compare the multiple algorithms used for facial recognition.

8 citations

Book ChapterDOI
19 Nov 2020
TL;DR: In this article, the authors designed and implemented an IoT-based smart home security system, which not only protects our home from unauthorized access but also saves our life from dangerous situations.
Abstract: A security system is one of the most important applications of a smart home that protects our home from thieves or potential risks. However, a traditional home security system usually suffers from high costs or does not satisfy the user’s needs. Therefore, in this research, we design and implement an IoT-based smart home security system, which not only protects our home from unauthorized access but also saves our life from dangerous situations. In our proposed system, biometric recognition based on the combination of fingerprint and face image is used to identify the homeowners who have permission to access the home. The main door will be opened if the input biometric image matches the one stored in the database. Otherwise, the system will raise an alarm with a doorbell and/or send a notification message to the homeowner. Besides, the system also collects environmental data in the home and notifies the homeowner in case of a dangerous situation, e.g. there was a fire or gas leak. The homeowner can monitor and control their home remotely via a friendly Web-based user interface. All activities happening in the home are recorded in a logging system for further analysis.

4 citations