The document summarizes iris recognition as a biometric authentication method. It discusses how the iris is unique and stable over time, making it suitable for identification. The basic technique involves capturing an eye image, localizing the iris, and encoding patterns in the iris to generate a code for matching. Advantages include speed, accuracy and the iris being difficult to forge. Current applications include smartphone unlocking and border security. Future uses could help identify patients in hospitals and provide officer safety during traffic stops.
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
in terms of Forensic Science, how iris recognition is done and what are the key factors that should be kept in mind. It can be its Advantages, Disadvantages, Approaches and very importantly the working process.
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
iris recognition system as means of unique identification Being Topper
Project Done and submitted by Students Of final year CBP Government Engineering College
student name : vipin kumar khutail , Krishnanad Mishra , Jaswant kumar, Rahul Vashisht
Project Description :
Iris recognition is an automated method of bio-metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex random patterns are unique, stable, and can be seen from some distance
One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
Multimodal biometric systems are those that utilize more than one physical or behavioural characteristic for enrolment , verification, or identification.
This Powerpoint prsentation contains information about the overview of various successful works performed for Biometric Recognition using Deep Learning. This work is based on an existing survey paper.
Enhancing Security and Privacy Issue in Airport by Biometric based Iris Recog...idescitation
Few years ago a self service has been predominant way of passenger at airport.
For the passenger that is a very enjoyable and comfort situation because it keeps control
over all process during their complete journey. For airport and for airlines is also very
interesting evolution because self service allows increasing capacity of airport without any
significant extra investment. However success of self service induces one potential risk. That
is of lack of human contact between airline operator and passenger, there is a problem in
identifying a passenger. This is definitely the problem for immigrations forcibly. This
potential risk of the industry is needed to be addressed and biometrics definitely can solve
this kind of problem. Nowadays biometric is considered to be the most important and
reliable method for personal identification. Iris recognition is considered as most personal
identification.
A study of Iris Recognition technology over the in use biometric technologies these days. These Study shows how beneficial the iris technology can be to the Human in future.
I have put all my efforts in this study and have made an simple easy to understand ppt.
Iris recognition is an automated method of bio metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex patterns are unique, stable, and can be seen from some distance.
Retinal scanning is a different, ocular-based bio metric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition. Iris recognition uses video camera technology with subtle near infrared illumination to acquire images of the detail-rich, intricate structures of the iris which are visible externally.
iris recognition system as means of unique identification Being Topper
Project Done and submitted by Students Of final year CBP Government Engineering College
student name : vipin kumar khutail , Krishnanad Mishra , Jaswant kumar, Rahul Vashisht
Project Description :
Iris recognition is an automated method of bio-metric identification that uses mathematical pattern-recognition techniques on video images of one or both of the irises of an individual's eyes, whose complex random patterns are unique, stable, and can be seen from some distance
One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
Multimodal biometric systems are those that utilize more than one physical or behavioural characteristic for enrolment , verification, or identification.
This Powerpoint prsentation contains information about the overview of various successful works performed for Biometric Recognition using Deep Learning. This work is based on an existing survey paper.
Enhancing Security and Privacy Issue in Airport by Biometric based Iris Recog...idescitation
Few years ago a self service has been predominant way of passenger at airport.
For the passenger that is a very enjoyable and comfort situation because it keeps control
over all process during their complete journey. For airport and for airlines is also very
interesting evolution because self service allows increasing capacity of airport without any
significant extra investment. However success of self service induces one potential risk. That
is of lack of human contact between airline operator and passenger, there is a problem in
identifying a passenger. This is definitely the problem for immigrations forcibly. This
potential risk of the industry is needed to be addressed and biometrics definitely can solve
this kind of problem. Nowadays biometric is considered to be the most important and
reliable method for personal identification. Iris recognition is considered as most personal
identification.
IRIS Recognition is Fast Developing to be a Fool Proof And Fast Identification Technique. It is a classic Biometrics Application that is in an Advanced stage of Research all Over the world.
Iris acts like the diaphragm of a camera, dilating and constricting the pupil to allow light of differing intensities into the eye. The experiment describes how the dilation and constriction responses of one pupil are geared to the other.
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Introduction
The term “biometrics” is derived from the Greek words “bio” (life) and “metrics” (to measure). Automated biometric systems have only become available over the last few decades, due to significant advances in the field of computer processing. Many of these new automated techniques, however, are based on ideas that were originally conceived hundreds, even thousands of years ago.
One of the oldest and most basic examples of a characteristic that is used for recognition by humans is the face. Since the beginning of civilization, humans have used faces to identify known (familiar) and unknown (unfamiliar) individuals. This simple task became increasingly more challenging as populations increased and as more convenient methods of travel introduced many new individuals into- once small communities. The concept of human-to-human recognition is also seen in behavioral-predominant biometrics such as speaker and gait recognition. Individuals use these characteristics, somewhat unconsciously, to recognize known individuals on a day-to-day basis.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
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1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
2. Introduction
“Biometrics consists of methods for uniquely recognizing humans
based upon one or more intrinsic physical or behavioral traits .
Biometrics provides a secure method of authentication and
identification.
Biometric identification utilises physiological and behavioural
characteristics to authenticate a person’s identity.
TheThe need for biometrics is:
o -> Rapid development in technology
o -> Globalization
3. What is IRIS Scanning
The iris is a Protective internal organ of the eye. It is easily visible as
a colored disk, behind the clear protective window of the cornea,
surrounded by the white tissue of the eye. It is the only internal
organ of the body normally visible externally. It is a thin diaphragm
stretching across the anterior portion of the eye and supported by
lens.
Going the layman way the biometric identification of the iris is called
as “IRIS SCANNING”.
“Iris recognition is a method of biometric authentication that uses
pattern-recognition techniques based on high-resolution images of
the irides of an individual's eyes.”
4. Why Iris Recognition?
• Iris patterns are unique.
• Iris patterns do not change with age.
• Artificial duplication is impossible
• Probability of matching two ireses is
1:10^78
• Simplicity and ease of implementation.
• Speed – the process of matching the iris
patterns is very fast.
5. Basic Technique
Step 1: Capturing the image of the eye using a camera.
Step 2: Differentiating the outline of the iris and the sclera,
and the pupil from the iris.
Step 3: Encoding the image using demodulation (also
removes reflections, intrusion of eye lid lashes, contact
lens outline etc.,). Code is 256 bytes.
pupil
iris
sclera
7. The design and implementation of a system for
automated iris recognition can be subdivided in to
3 major parts:-
1. IMAGE ACQUISITION : To acquire images with
sufficient resolution and sharpness to support
recognition.
2. IRIS LOCALIZATION : To delemit the iris from
the rest of the image.
3. PATTERN MATCHING : The Iris Code derived
from this process is compared with previously
generated Iris Code..
8. Image Acquisition Using Visible Light
Using visible light the
texture information
obtained is less.
The different layers
are visible while
using visible light .
9. Image Acquisition Using Infrared Light
A better texture
information is
obtained using
infrared light.
It gives more precise
data for comparison.
10. Iris Localisation
The process of obtaining picture
of iris only is called localization.
Delimits the iris from the rest of
the acquired image
To identify the approximately
concentric circular outer
boundaries of the iris and the
pupil in a photo of an eye using
DAUGMAN’S ALGORITHM
Exclude eyelids, eyelashes and
pupil also .
11. Pattern Matching
Live Iris code of the iris presented for authentication is
compared with iris code stored in the database.
Bit by bit comparison is made between two irises & no
of non matching bits & matching bits are found out.
Number of non matching bits are divided by number of
bits to obtain Hamming distance.
Hamming distance gives degree of match or unmatch.
For two identical iris code, hamming distance is zero,
and for perfectly unmatch hamming distance is one
12. Advantages
Sensing of the biometric is without physical contact .
Iris is an internal organ is well protected against damage
.
Iris has a fine texture .
Highly stable .
Artificial eye can be detected .
Analysis of iris extremely fast .
Highly accurate .
13. Disadvantages
Requires much user cooperation.
Performance of iris authentication may be impaired by glasses .
Difficult to perform at a distance larger than a few meters
Susceptible to poor image quality .
Camera used in the process needs to have the correct amount of
illumination.
Obscured by eyelashes, lenses, reflections .
15. Current Trends And Applications
.Fugitive track record
.Computer login: The iris as a living password.
· National Border Controls: The iris as a living password.
· Ticket less air travel.
· Premises access control (home, office, laboratory etc.).
· Driving licenses and other personal certificates.
· Entitlements and benefits authentication.
· Forensics, birth certificates, tracking missing or wanted person
· Credit-card authentication.
· Automobile ignition and unlocking; anti-theft devices.
. Anti-terrorism (e.g.:— suspect Screening at airports)
. Secure financial transaction (e-commerce, banking).
. Internet security, control of access to privileged information.
16. Current Use Of Iris Recognition
• Samsung Galaxy Note 7 : It works alongside an infrared LED and
is programmed to recognize the pattern in your iris, and that's pretty much it.
It has no other function aside from that. the scanner uses an infrared sensor
to detect patterns in a user's iris. Simply pointing it at a registered user's
eyes unlocks the phone, and does so incredibly quickly.
• Nokia Lumia 950 Xl : there's an infrared camera as well as a
secondary camera. The infrared sensor lights up the user's eye, so that the
secondary camera can snap a good image and record the data, then turn it
in to an encrypted piece of information stored on the device.
17. Future :
• Keep Officers Safe On Street:
During routine traffic stops or when handling disturbance
calls, officers may have to identify and approach
belligerent or intoxicated people. Officers will perform a
quick iris scan to identify individuals from a distance,
providing a critical layer of safety. Wireless, lightweight,
and portable, the iris scanner is operated with one hand,
leaving the other hand free for fast reaction. Shared
databases—similar to the Automated Fingerprint
Identification System (AFIS)—will grow to create broad
collaboration across enforcement agencies, giving
officers in the field rapid understanding of their situation.
18. Improve patient care:
New, ambulatory patients will enroll in the iris
recognition database during admission. Previously
enrolled patients will identify themselves at any of the
networked scanning stations throughout the facility. Non-
ambulatory and emergency patients—and those who
don’t know who they are,such as dementia patients—will
be identified or enrolled without interrupting the critical
time to treatment. Even before the patient reaches the
ER, iris recognition is providing critical information. As
the ambulance travels, EMTs and paramedics can
identify patients, gather their medical history, and start
procedures and medication right away
19. Conclusion
The uniqueness of iris and the low probability of a false
acceptance or false rejection all contribute to the benefits
of using iris recognition technology.
Provides an accurate and secure method of
authenticating users onto company systems .
The technical performance cabability of the iris
recognition process far surpasses that of any biometric
technology now available and it is the future of highly
secure security system.