Exploring Biometric Systems for Smart Home Automation Security

This report explores the application of biometric authentication systems for enhancing security in residential and commercial dwellings. It investigates various biometric traits, including facial scans, fingerprint scans, hand scans, retina scans, and iris scans, assessing their suitability for automated home security systems. The research delves into the workings of biometric systems, covering data collection techniques such as questionnaires, secondary source reviews, interviews, and experimentation. The report also discusses the advantages and disadvantages of using questionnaires for data collection. References to relevant patents and research papers are provided, highlighting the current state of mobile biometrics and retina scanning technologies. This student contributed document is available on Desklib, a platform offering a wealth of study resources for students.

SMART HOME AUTOMATION BY BIOMETRICS
NAME OF THE STUDENT: SIDDHARTH MEHTA
STUDENT ID: 4580480
SUPERVISOR NAME: FARHAD AHMED
RESEARCH PROJECT

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INTRODUCTION
Biometric authentication is the process of establishing identity of an individual based on the
behavioral and physiological characteristics also known as the identifiers or traits.
The need for an accurate user authentication method has greatly increased with the wake of
heightened issues about rapid advancement in communication, mobility, networking and
security.
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STUDY AIMS
The main aim of this study is to find out the best automated biometric system for rendering security
to the residential and commercial dwellings.
RESEARCH QUESTIONS
What is Biometric authentication?
What are the human traits used in Biometric identification?
What are the common biometric authentication systems used currently?
How does a biometric authentication work?
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The biometric traits are
divided into two broad
categories. I.e.
Behavioral
physiological
SMART HOME AUTOMATION BY BIOMETRICS
BIOMETRIC SYSTEMS

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Possible Automated Biometric systems
Some of the possible automated biometric system which can be implemented in residential and
commercial dwellings include;
Facial- scan
 finger - scan
 hand- scan
 retina- scan and iris-- scan
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Fingerprints-scan
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 Also referred to as hand identification or dactyloscopy is the
process of carrying out a comparison of two examples of friction
ridges skin impression from the human palm, toe or finger.
 The finger print scanners can be positioned to the point of entry
to scan the fingers of the authorized people and then grant
access.

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Face recognition
Face (facial) recognition is a computer application
which automatically verifies or identifies an individual
with the assistance of a digital image or video or at
the same time a frame from a video source can be
used in the verification or identification process.
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Hand Geometry
Hand geometry is the process whereby the geometric shape of the hand is used for the
identification or recognition purposes.
This technique is based on the fact that the shape of an individual is completely different
from another individual and at the same time the shape of the hand does not change at any
given age.
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Iris recognition
The iris is the elastic, pigmented, connective tissue which surround the pupil of the human eye.
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 This biometric technique is used for different
authentication and security applications such as
the passports, identity cards, prison security,
computer logins and database access

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Working of a Biometric system
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RESEARCH METHODOLOGY
data collection techniques that were employed during research include;
Questionnaires
Review of secondary sources
Interviews
Experimentation
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Questionnaires
Questionnaires a set of printed or written questions with a choice of answers, devised for the purposes of a
survey or statistical study.
Benefits of using questionnaires
Cost-effective
Practical
Quick to get feedback
Hides respondent anonymity
Questionnaires don’t have time constraints
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Disadvantages of questionnaires
Questionnaires can be a challenge to understand and interpret
Some of respondents can give biased information
Some of the respondents involved in the study might be having hidden agenda, hence giving false data.
Some of the questions may be skipped when the questionnaires are being filled which will make the study
uncomplete.
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References
Berini, D.J., Van Beek, G.A., Arnon, I., Shimek, B.J., Fevens, R.B. and Bell, R.L., NEXTGENID Inc,
2016. Enrollment kiosk including biometric enrollment and verification, face recognition and fingerprint matching
systems. U.S. Patent 9,256,720.
Berini, D.J., Van Beek, G.A., Arnon, I., Shimek, B.J., Fevens, R.B. and Bell, R.L., NEXTGENID Inc, 2016. Multi-
biometric enrollment kiosk including biometric enrollment and verification, face recognition and fingerprint
matching systems. U.S. Patent Application 15/017,261.
Berini, D.J., Van Beek, G.A., Arnon, I., Shimek, B.J., Fevens, R.B. and Bell, R.L., NEXTGENID Inc,
2016. Enrollment kiosk including biometric enrollment and verification, face recognition and fingerprint matching
systems. U.S. Patent 9,256,720.
Buriro, A., Akhtar, Z., Crispo, B. and Gupta, S., 2017, October. Mobile biometrics: Towards a comprehensive
evaluation methodology. In 2017 International Carnahan Conference on Security Technology (ICCST) (pp. 1-6).
IEEE.
Cleland, T.P. and Shaydyuk, N., Retina Biometrix LLC, 2017. Biometric identification via retina scanning with
liveness detection. U.S. Patent 9,808,154.
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