Explaining iris
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1. The document discusses different biometric identification methods including iris scanning, fingerprint analysis, and DNA testing. 2. Iris scanning involves using mathematical pattern recognition techniques to analyze unique patterns in a person's irises. Over 250 points are scanned in the iris compared to only 30 points for fingerprints. 3. Iris scanning has been implemented for security purposes in border control systems, ATMs, and airports around the world since the early 2000s and continues to be used and improved in applications like smartphone authentication.
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This document discusses vein recognition technology, which uses patterns of veins in the fingers or other parts of the body to identify individuals. It explains that vein recognition works by using infrared light to scan veins just under the skin and extract a template of the vein patterns, which can then be compared to stored templates to match identity. The document outlines some of the prominent companies involved in vein recognition technology, the different areas of the body that can be used, advantages like its non-invasive nature, and challenges like cost and lack of government interest. It also discusses potential applications for logical access control and centralized information management.
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The document discusses iris recognition as a biometric technique. It provides an overview of iris identification processes including image acquisition, localization, generating an iris code using Gabor filters, and storing the code in a polarized representation. The document outlines the key components of an iris identification system and the steps of iris identification. It discusses properties of the iris like its unique patterns, applications of iris recognition for security, and advantages like reliability while noting disadvantages like requiring close proximity.
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This document summarizes the process of iris recognition for biometric authentication. It begins with image acquisition of the iris using a camera. Next, iris localization is performed to isolate the iris region from the rest of the eye image. Finally, pattern matching is done by converting the iris image into a numeric iris code template using Gabor wavelets to extract distinguishing features of the iris texture and patterns. This iris code provides a highly accurate means of identifying individuals due to the richness of distinguishing details in the iris structure.
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This document discusses vein recognition technology, which uses patterns of veins in the fingers or other parts of the body to identify individuals. It explains that vein recognition works by using infrared light to scan veins just under the skin and extract a template of the vein patterns, which can then be compared to stored templates to match identity. The document outlines some of the prominent companies involved in vein recognition technology, the different areas of the body that can be used, advantages like its non-invasive nature, and challenges like cost and lack of government interest. It also discusses potential applications for logical access control and centralized information management.
implementation of finger vein authentication technique
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The document discusses iris recognition as a biometric technique. It provides an overview of iris identification processes including image acquisition, localization, generating an iris code using Gabor filters, and storing the code in a polarized representation. The document outlines the key components of an iris identification system and the steps of iris identification. It discusses properties of the iris like its unique patterns, applications of iris recognition for security, and advantages like reliability while noting disadvantages like requiring close proximity.
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This document summarizes the process of iris recognition for biometric authentication. It begins with image acquisition of the iris using a camera. Next, iris localization is performed to isolate the iris region from the rest of the eye image. Finally, pattern matching is done by converting the iris image into a numeric iris code template using Gabor wavelets to extract distinguishing features of the iris texture and patterns. This iris code provides a highly accurate means of identifying individuals due to the richness of distinguishing details in the iris structure.
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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 technique involves capturing an iris image, localizing the iris region, and encoding the iris pattern into a code for matching. Iris recognition provides accurate and fast authentication and has applications in security systems, border control, and other areas where secure identification is needed. However, it requires user cooperation and specialized cameras. The document also outlines current and potential future uses of iris recognition technology.
Iris scan.ppt 1
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.
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This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
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This document is a technical seminar report on touch accessors and eye scanners presented by Avinash Vemulapalli at Sri Vasavi Engineering College. It discusses the working of touch accessors which use finger ridges for authorization and eye scanners which use the iris for recognition. Eye scanners were developed by Denis-Alfred and their main advantages include easy user access and high security. Pattern matching is one algorithm used. Eye scanners are now used in mobile devices developed by Apple.
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Palm vein technology uses near-infrared light to capture a high-resolution image of the palm vein pattern, which is then digitized and stored as a template. The palm vein pattern is unique to each individual and cannot be stolen, as the veins exist inside the body. Palm vein authentication has a very low false acceptance rate of less than 0.00008% and false rejection rate of 0.01%, providing highly accurate authentication. The palm vein scanner captures a user's palm vein pattern upon placing their palm near the scanner, registers it, and compares it to stored templates for authentication. Palm vein technology has applications in security, banking, healthcare, and commercial sectors due to its contactless and hygienic nature and
Centerix Iris-Presentation
This document provides information on iris recognition technology. It discusses how iris recognition works, the accuracy and benefits of iris biometrics over other methods such as fingerprints. It also outlines Iris ID's product portfolio including iris recognition cameras, software, and case studies of iris recognition deployments at locations such as airports, data centers, hospitals and more. The key advantages of iris recognition highlighted are its accuracy, ease of use, speed, and ability to provide high security identification without invasive methods or physical contact.
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This document provides an overview of iris recognition as a biometric authentication method. It discusses how iris recognition works, including iris scanning, iris code generation, and verification. It then describes how iris recognition could be used for the voting process, including a block diagram and flowchart of the process. The document notes advantages of iris recognition such as accuracy and difficulty to imitate, and disadvantages such as need for specialized equipment and inability to retrieve iris from crime scenes like fingerprints. It provides examples of iris recognition applications and concludes by discussing its advantages over fingerprint scanning for identifying refugees.
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This document presents information on iris scanner technology from a presentation by Shams. It discusses what the iris is, why iris recognition is used, the history and development of iris recognition, how iris recognition systems work, advantages like the iris being unique and stable over time, and disadvantages like the small target size and it being obscured. The conclusion is that iris scanning is highly accurate and fast but still needs some development to become more widely used technology.
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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 technique involves capturing an iris image, localizing the iris region, and encoding the iris pattern into a code for matching. Iris recognition provides accurate and fast authentication and has applications in security systems, border control, and other areas where secure identification is needed. However, it requires user cooperation and specialized cameras. The document also outlines current and potential future uses of iris recognition technology.
Iris scan.ppt 1
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.
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan Detection
This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
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This document discusses finger vein authentication technology. It begins with an introduction and overview of biometrics and finger vein authentication. It then describes the four components of finger vein detection and authentication: image acquisition, pre-processing, extraction, and matching. It highlights benefits of finger vein authentication such as accuracy, speed, security, compact size, and difficulty to forge. It concludes with examples of applications for finger vein authentication such as PC login, identity management, time/attendance tracking, cashless catering, banking, and access control for secure areas.
Finger Vein Detection using Gabor Filter, Segmentation and Matched Filter
This paper propose a method of personal identification based on finger-vein patterns. An image of a finger captured by the web camera under the IR light transmission contains not only the vein pattern itself; but also shade produced by various thickness of the finger muscles; bones; and tissue networks surrounding the vein. In this paper; we intro-duce preliminary process to enhance the image quality worsened by light effect and noise produced by the web camera; then segment the vein pattern by using adaptive threshold method and matched them using improved template matching. The main purposes of this paper are to investigate finger-vein technology; the applicable fields and whether finger-vein detection can solve the problems fingerprint detection imposes in certain industries
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Abstract Finger vein recognition is a kind of biometric authentication system. This is one among many forms of biometrics used to recognize the individuals and to verify their identity. This paper presents a finger vein authentication system using template matching. Implementation using Matlab shows that the finger vein authentication system performs well for user identification. Keywords – biometric, feature extraction, figure vein, security system
Cloud Iris Verifcation System
This document describes a cloud iris verification system that allows secure online shopping through iris recognition. The system has two main components: a digital store website for shopping and an iris verification service (IVS) that runs on cloud infrastructure. The IVS uses iris segmentation, normalization, feature encoding, and matching to verify users' identities and integrate with the digital store for authentication during login and purchases.
palm vein technology and its applications
This document summarizes palm vein biometric authentication technology. It explains that palm vein patterns are unique and used like passwords to verify identity. An infrared scanner reads the vein pattern and compares it to a registered profile to grant or deny access. Palm vein authentication provides highly accurate identification without physical contact and remains valid throughout one's lifetime. It is a more advantageous biometric technique than fingerprint or iris scanning.
Palm vein-technology.doc
Palm vein technology uses the unique vein patterns in people's palms to identify individuals. It captures an image of the veins by detecting their pattern when illuminated with infrared light. This technology is highly secure because vein patterns are internal and difficult to forge, and also accurate because each person's vein pattern is complex and unique. The contactless and hygienic nature of palm vein scanning makes it suitable for use in public environments such as buildings, banks, and hospitals.
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Biometric ATM are used for wide range of applications like for Banking, Coupons & Self service ATM. Biometrics ATM offer ATM type interface along with at-least one Biometrics capture device like Fingerprint Scanner, Iris camera, Palm/Finger Vein scanner , Face recognition camera. They are often called Multi-Biometrics ATM, Wall mount Biometrics ATM, Biometrics Devices / Machine.
Most of the ATM in the past have been using ID cards to identify users but with the wide acceptance of Biometrics , a new generation of Biometrics ATM are being deployed for wide range of applications worldwide.
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This presentation Includes the introduction, working principle & technology and experimental observations of palm vein technology on the basis of which it is considered one of the most secure authentication technology.
Iscon Imaging FocusScan Spec Sheet
FocusScan is a handheld imaging device that uses infrared technology to detect concealed objects under a person's clothing. It provides high-resolution images and allows security personnel to identify concealed objects in a more proactive manner to control loss and increase security. The device is easy to use, has touchscreen controls, detects various materials, and eliminates privacy and health concerns associated with pat downs. It securely stores images for later investigative purposes.
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The document discusses iris recognition technology, which uses cameras to capture high-resolution photos of the iris and specialized software to encode the unique patterns in the iris. A key challenge is live-tissue verification to ensure an actual iris is being imaged rather than a photo or fake iris. Several methods are proposed to address this, such as changing lighting during imaging to verify the pupillary reflex, analyzing spatial frequencies to detect printer patterns, and observing natural eye movements. Iris recognition has been deployed in immigration systems in countries like the UAE and Canada.
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A PROJECT REPORT ON IRIS RECOGNITION SYSTEM USING MATLAB
1. Iris recognition is a reliable biometric authentication method that uses the unique patterns in the iris to identify individuals.
2. Previous work has focused on detecting fake irises using techniques like analyzing image quality features, extracting texture features from the iris, and applying weighted local binary patterns.
3. Detecting fake irises using printed contact lenses is challenging but important for security. Methods have analyzed features like iris edge sharpness, iris-texton histograms, and gray-level co-occurrence matrices to differentiate real and fake irises.
4. Combining local descriptors like SIFT with local binary patterns can improve fake iris detection performance by making the approach
Security for Identity Based Identification using Water Marking and Visual Cry...
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Applications of Biometrics in Technology
Biometric in the field of Computer science ! This is a powerpoint presentation prepared as a first year participation in college presentation competition. Topic - Applications of biometrics in technology. This was my first attempt. Hope it comes in use for people in need of a simple presentation.
A Novel Biometric Approach for Authentication In Pervasive Computing Environm...
The paradigm of embedding computing devices in our surrounding environment has gained more interest
in recent days. Along with contemporary technology comes challenges, the most important being the
security and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasive
devices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristics
termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and
retinal scanning algorithms have been discussed which promises achievement of accurate results. The
performance and vast applications of these algorithms on pervasive computing devices is also addressed.
A Novel Biometric Approach for Authentication In Pervasive Computing Environm...
The paradigm of embedding computing devices in our
surrounding environment has gained more interest
in recent days. Along with contemporary technology
comes challenges, the most important being the
security and privacy aspect. Keeping the aspect of
compactness and memory constraints of pervasive
devices in mind, the biometric techniques proposed
for identification should be robust and dynamic. In
this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristics termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and retinal scanning algorithms have been discussed whi
ch promises achievement of accurate results. The
performance and vast applications of these algorithms on pervasive computing devices is also addressed.
A NOVEL BIOMETRIC APPROACH FOR AUTHENTICATION IN PERVASIVE COMPUTING ENVIRONM...
This document summarizes a research paper on using ocular biometrics for authentication in pervasive computing environments. It discusses using iris recognition and retinal scanning algorithms. Iris recognition uses patterns in the iris to identify individuals accurately. Retinal scanning analyzes blood vessel patterns in the retina, which are unique to each person. The document outlines Daughman's iris recognition algorithm and discusses enhanced versions. It addresses the performance and applications of these biometric techniques on pervasive devices, noting they can identify users accurately and securely.
Advanced Computational Intelligence: An International Journal (ACII)
The paradigm of embedding computing devices in our surrounding environment has gained more interest
in recent days. Along with contemporary technology comes challenges, the most important being the
security and privacy aspect. Keeping the aspect of compactness and memory constraints of pervasive
devices in mind, the biometric techniques proposed for identification should be robust and dynamic. In this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristics
termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and
retinal scanning algorithms have been discussed which promises achievement of accurate results. The
performance and vast applications of these algorithms on pervasive computing devices is also addressed.
49559880-IRIS-SCANNING1.ppt
The document discusses iris recognition as a biometric authentication method. It begins by explaining that biometrics uses physiological and behavioral characteristics to identify individuals. It then describes the key components of an iris recognition system, including iris localization, feature encoding using Gabor wavelets, and pattern matching through hamming distance comparison. The document outlines the accuracy and applications of iris recognition, as well as advantages such as stability and speed, and disadvantages such as required user cooperation. It concludes that iris recognition provides a highly secure authentication method due to the uniqueness of each iris pattern.
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Explaining iris
- 1. 21-12-16
- 2. 1. Iris Pattern 2. Finger 3. DNA In Human Body Three Import part Different from each other
- 15. Forensic Lab Use DNA Test
- 16. iris recognition biometric systems apply mathematical pattern-recognition techniques to images of the irises of an individual's eyes
- 17. Retinal scanning is a different, ocular-based biometric technology that uses the unique patterns on a person's retina blood vessels and is often confused with iris recognition.
- 18. Although John Daugman developed and patented the first actual algorithms to perform iris recognition
- 19. University of Tehran IRIS (UTIRIS) [9] image repository provides the first hybrid iris databank registered in two distinct sessions: Visible Wavelength (VW) and Near InfraRed (NIR) during 24–27 June 2007.
- 20. University of Tehran IRIS (UTIRIS) [9] image repository provides the first hybrid iris databank registered in two distinct sessions: Visible Wavelength (VW) and Near InfraRed (NIR) during 24–27 June 2007.
- 21. Use
- 22. Secure compare with Finger Technology. Fast , Efficient.
- 25. In Iris Scanning to scan 250 or 240 Point But In Finger print To Scan only 32 or 30 Point
- 26. In Scanner use Infant Camera And Normal Camera
- 27. In Scanner use Infant Camera And Normal Camera
- 28. In Scanner use Infant Camera And Normal Camera
- 29. In Scanner use Infant Camera And Normal Camera
- 30. In Scanner use Infant Camera And Normal Camera
- 31. In Scanner use Infant Camera And Normal Camera
- 34. After Scanning Scanner are generate Iris Encryption Code
- 37. On May 28, 2015, Fujitsu released ARROWS NX F-04G the first smartphone with iris scanner.
- 38. Retina Scanning
- 41. United Arab Emirates Iris Guard's Homeland Security Border Control has been operating an expellee tracking system in the United Arab Emirates (UAE) since 2003
- 42. Hashemite Kingdom of Jordan - 2009, Iris Guard deployed the world's first operational iris enabled Automated Teller Machine(ATM) at Cairo Amman Bank, where bank customers can seamlessly withdraw cash from ATM's without a bank card or pin but simply by presenting their eye to the iris recognition camera on the ATM.
- 43. At Amsterdam Airport Schiphol, Netherlands
- 44. Canadian Air Transport Security Authority's Restricted Area Identity Card (RAIC) program is the world's first dual-biometric program deployed
- 45. At the end of 2015, Microsoft launched two Lumia phones (Lumia 950 and Lumia 950 XL) featuring iris scanning as a way to authenticate the user.