An eye with an atm
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This document proposes enhancing ATM security through iris recognition. It begins with an introduction to ATMs and discusses limitations of current security methods like PINs and fingerprints. Iris recognition is presented as an alternative biometric for identification. The document outlines how iris recognition works, its advantages of being accurate, stable and difficult to forge. Potential disadvantages like cost and small iris target are noted. It concludes iris recognition could provide more reliable security for ATM use by allowing quick, permanent identification without PINs or cards.
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an atm with an eye
This document describes an automated teller machine (ATM) with enhanced security features that uses facial recognition technology. It discusses how current ATMs use cards and PINs for identity verification and the shortcomings of this approach. The proposed ATM would use a camera to capture a live image of the customer's face and compare it to a stored facial image to verify their identity before dispensing cash, providing a more secure method of authentication. The document outlines how the facial recognition system would work and the benefits of using biometric identification to protect both consumers and financial institutions.
ATM with an EYE
This document summarizes a seminar presentation on ATMs that use iris recognition for security. It defines ATMs and discusses their history, how iris recognition works, the techniques involved, and advantages like convenience and protection from identity theft. Potential disadvantages include identify theft if the iris data is compromised or the physical ATM is stolen. The conclusion is that iris recognition provides more reliable security than passwords or cards alone by quickly verifying users' identities.
Atm wtih an eye FROM ANAND REDDY
1. The document discusses adding biometric identification, specifically eye recognition, to ATMs to improve security over traditional passwords.
2. It describes how an ATM with eye recognition would work, prompting the user to insert their card then input their PIN before capturing an image of the user's eye to verify their identity.
3. Eye recognition offers advantages over other biometrics for ATM use as the iris and retina patterns are unique, stable over a person's lifetime, and can be imaged from a distance. However, challenges include obtaining a clear image of the small eye target.
An atm with an eye
This document discusses adding facial recognition technology to ATMs. It proposes combining a physical access card, PIN, and facial recognition for added security. The main challenges are keeping verification time negligible, allowing for variation in a customer's face, and enabling credit card use without banks having customer photos. Facial recognition could match a live image to one stored in a bank database associated with the account, neutralizing stolen card and PIN fraud. With appropriate lighting and software, variations could be accounted for, and additional images stored over time to decrease false negatives. This added security could reduce theft by bank employees and the impact of stolen cards and PINs.
Atm with an eye
1. The document proposes adding biometric eye recognition technology to ATMs to improve security over traditional password and card based verification.
2. With eye recognition ATMs, the ATM would capture an image of the user's eye and compare it to a stored biometric template instead of just verifying a PIN.
3. This adds an extra layer of security by ensuring the actual cardholder is present instead of just relying on knowledge of the card details and PIN.
AN ATM WITH AN EYE BY SAIKIRAN PANJALA
An ATM with facial recognition and iris scanning is proposed to improve security. It would use cameras to capture images of the user's face and iris to match against stored images associated with their bank account, replacing the need for an ATM card and PIN. If the live and stored images match, the user would be verified. This system aims to make ATM transactions more reliable, efficient and secure compared to existing card/PIN verification methods. The document provides background on ATMs, biometric identification techniques, and describes how a facial/iris recognition system could work and the potential benefits.
An atm with an eye
This document proposes an ATM system that uses facial recognition instead of cards and PINs for verification. It would work by having a camera installed on the ATM that takes a photo of the customer's face and compares it to an image stored in the bank's database associated with the account. This would provide increased security by matching a live photo to the stored image without needing a card or PIN. The document outlines the components, techniques, process and potential benefits of such a biometric-based ATM system for more reliable authentication.
Atm with an eye
This document discusses improvements to security for automated teller machines (ATMs). It proposes adding facial recognition technology to address security issues with stolen cards and PINs. A camera would capture a user's face and match it to the stored image associated with their bank account. Only if the PIN, live image, and stored image all match would the transaction be authorized. This enhanced verification process could help reduce fraud and protect both customers and financial institutions.
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an atm with an eye
This document describes an automated teller machine (ATM) with enhanced security features that uses facial recognition technology. It discusses how current ATMs use cards and PINs for identity verification and the shortcomings of this approach. The proposed ATM would use a camera to capture a live image of the customer's face and compare it to a stored facial image to verify their identity before dispensing cash, providing a more secure method of authentication. The document outlines how the facial recognition system would work and the benefits of using biometric identification to protect both consumers and financial institutions.
ATM with an EYE
This document summarizes a seminar presentation on ATMs that use iris recognition for security. It defines ATMs and discusses their history, how iris recognition works, the techniques involved, and advantages like convenience and protection from identity theft. Potential disadvantages include identify theft if the iris data is compromised or the physical ATM is stolen. The conclusion is that iris recognition provides more reliable security than passwords or cards alone by quickly verifying users' identities.
Atm wtih an eye FROM ANAND REDDY
1. The document discusses adding biometric identification, specifically eye recognition, to ATMs to improve security over traditional passwords.
2. It describes how an ATM with eye recognition would work, prompting the user to insert their card then input their PIN before capturing an image of the user's eye to verify their identity.
3. Eye recognition offers advantages over other biometrics for ATM use as the iris and retina patterns are unique, stable over a person's lifetime, and can be imaged from a distance. However, challenges include obtaining a clear image of the small eye target.
An atm with an eye
This document discusses adding facial recognition technology to ATMs. It proposes combining a physical access card, PIN, and facial recognition for added security. The main challenges are keeping verification time negligible, allowing for variation in a customer's face, and enabling credit card use without banks having customer photos. Facial recognition could match a live image to one stored in a bank database associated with the account, neutralizing stolen card and PIN fraud. With appropriate lighting and software, variations could be accounted for, and additional images stored over time to decrease false negatives. This added security could reduce theft by bank employees and the impact of stolen cards and PINs.
Atm with an eye
1. The document proposes adding biometric eye recognition technology to ATMs to improve security over traditional password and card based verification.
2. With eye recognition ATMs, the ATM would capture an image of the user's eye and compare it to a stored biometric template instead of just verifying a PIN.
3. This adds an extra layer of security by ensuring the actual cardholder is present instead of just relying on knowledge of the card details and PIN.
AN ATM WITH AN EYE BY SAIKIRAN PANJALA
An ATM with facial recognition and iris scanning is proposed to improve security. It would use cameras to capture images of the user's face and iris to match against stored images associated with their bank account, replacing the need for an ATM card and PIN. If the live and stored images match, the user would be verified. This system aims to make ATM transactions more reliable, efficient and secure compared to existing card/PIN verification methods. The document provides background on ATMs, biometric identification techniques, and describes how a facial/iris recognition system could work and the potential benefits.
An atm with an eye
This document proposes an ATM system that uses facial recognition instead of cards and PINs for verification. It would work by having a camera installed on the ATM that takes a photo of the customer's face and compares it to an image stored in the bank's database associated with the account. This would provide increased security by matching a live photo to the stored image without needing a card or PIN. The document outlines the components, techniques, process and potential benefits of such a biometric-based ATM system for more reliable authentication.
Atm with an eye
This document discusses improvements to security for automated teller machines (ATMs). It proposes adding facial recognition technology to address security issues with stolen cards and PINs. A camera would capture a user's face and match it to the stored image associated with their bank account. Only if the PIN, live image, and stored image all match would the transaction be authorized. This enhanced verification process could help reduce fraud and protect both customers and financial institutions.
an atm with an eye
This document discusses an ATM with iris recognition security. It introduces how traditional ATMs work using debit/credit cards and PINs, but notes increased security risks. An iris-scanning ATM is proposed to provide password-free access by matching a live iris image to one stored in a bank database. The summary describes how the iris-scanning ATM works by using a camera to capture an iris image, generate a code, and compare it to the user's code on file to verify their identity before completing transactions.
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This document discusses replacing traditional ATMs that use magnetic cards and PINs with an ATM that uses iris recognition for identity verification. It notes that current ATMs create environmental waste from paper cards and envelopes and have security issues from stolen cards and PIN cracking. An iris recognition-based ATM would scan the user's iris and match it to a stored iris code, verifying the user only if a match is found. The iris pattern is highly unique and iris recognition has a very low misidentification rate compared to other biometric methods. An iris-scanning ATM would provide more secure identity verification and transactions without generating paper waste.
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an atm with an eye
This document discusses an ATM with iris recognition security. It introduces how traditional ATMs work using debit/credit cards and PINs, but notes increased security risks. An iris-scanning ATM is proposed to provide password-free access by matching a live iris image to one stored in a bank database. The summary describes how the iris-scanning ATM works by using a camera to capture an iris image, generate a code, and compare it to the user's code on file to verify their identity before completing transactions.
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This document discusses replacing traditional ATMs that use magnetic cards and PINs with an ATM that uses iris recognition for identity verification. It notes that current ATMs create environmental waste from paper cards and envelopes and have security issues from stolen cards and PIN cracking. An iris recognition-based ATM would scan the user's iris and match it to a stored iris code, verifying the user only if a match is found. The iris pattern is highly unique and iris recognition has a very low misidentification rate compared to other biometric methods. An iris-scanning ATM would provide more secure identity verification and transactions without generating paper waste.
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This document discusses using biometric authentication in ATMs to address security issues. It outlines environmental and security concerns with conventional ATM systems that rely on PINs. It then describes how biometric authentication could use fingerprints, iris scans, or other biometrics to uniquely identify card holders instead of PINs. The document proposes a system that would collect biometric data, transmit it via GSM for authentication, and provide a more secure alternative to traditional ATMs.
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This document is a seminar report submitted by Shubham Kolapkar about a proposed digital payment system called Money Pad. Money Pad uses biometric fingerprint recognition for authentication, storing the user's fingerprint on a hard disk. When making a payment, the user places their finger on the Money Pad, which scans and matches it to the stored print to verify the user's identity before allowing transactions. This provides secure electronic cash payments to facilitate online and remote transactions as the world moves away from physical cash. The report provides background on existing payment methods and their limitations, then describes how Money Pad would work and the technologies involved.
High protection ATM system with fingerprint identification technology
This project was carried out at the College of Engineering, Design, Art and Technology, Makerere university Kampala Uganda
The main objective of this project was to come up with a more secure ATM system that will reduce on the ATM fraud.
Smart cards
Smart cards are small electronic devices about the size of a credit card that contain memory and an integrated circuit chip. They provide identification, authentication, and data storage capabilities. Smart cards were invented in 1968 and come in various types including embossed, magnetic stripe, memory, optical, microprocessor, and contactless cards. They have wide-ranging applications including use in payphones, banking, retail, electronic purse, health care, ID verification, and access control. Advantages of smart cards include flexibility, security, data integrity, and ease of use while disadvantages include fees, liability if stolen or lost, limited data capacity, and lack of universal technology support.
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The document describes Money Pad, which is proposed as a replacement for paper currency and cards for electronic transactions. Money Pad uses fingerprint recognition for security. It would store digital cash and transaction information. To use it, a user would register at a bank, providing fingerprints. The Money Pad would then store the user's account information and fingerprint for verification during transactions. It aims to provide instant funds transfers, avoid insecure cash carrying, and ensure strong security for electronic payments.
Presentation on security feature of atm (2)
The document discusses the security features of ATM systems. It describes how ATMs work by having customers authenticate using cards and PINs. ATM security relies on crypto-processors, database security, and network security. It provides security through mechanisms like time-outs for invalid PIN entries and recognizing stolen cards. Additional security features include identity verification, data confidentiality, accountability, and audit capabilities. The document emphasizes the importance of keeping ATM cards and PINs secure and reporting any loss or theft.
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In this presentation, I presented the history of smart cards, how smart card works, smartcard security and advantage and disadvantage of smartcards.
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This document proposes a finger print based door access system using biometrics for authentication. It uses a FIM 30N high voltage fingerprint scanner module stored on an ARM7 microcontroller. Employees first register their fingerprints which are stored with a unique ID. When employees attempt to enter, their live fingerprint is scanned and compared to stored prints. If it matches, they must enter a password via keypad. If both authenticate, a stepper motor opens the door which automatically closes after a delay. The system aims to provide secure access for organizations and uses embedded C programming on an ARM microcontroller with various hardware components.
Moneypad- The future wallet
The document describes Money Pad, an electronic cash handling system that uses fingerprint recognition to authenticate users. It works by capturing, extracting, comparing, and matching fingerprint data to determine if a user is authorized. Money Pad aims to improve security over credit cards and smart cards while allowing for instant clearing of funds and secure transactions. It could be used for online payments, digital cash transfer, and daily transactions once supporting infrastructure like e-banks are more widely available.
Biometrics technology
Ketan Bhagawat Sawakare will be giving a seminar presentation on biometrics technology. The presentation will include an introduction to biometrics, a history of biometrics, different types of biometrics such as fingerprint recognition and facial recognition, how biometrics systems work, advantages and disadvantages of biometrics, and applications and future scope of biometrics technology. The presentation will conclude with references used in preparing the seminar.
5 Pen PC technology seminar report
The document discusses the 5 Pen PC technology developed by NEC Corporation. It consists of 5 pen-style components: a CPU pen, communication pen with cellular connectivity, virtual keyboard projector, LED projector, and digital camera. These pens connect wirelessly using Bluetooth and work together to provide computing and communication capabilities. The technology aims to enable ubiquitous computing through minimal and portable pen-sized devices. A conceptual prototype was developed in 2003, but the technology has yet to be commercialized for consumer use. The document provides details on each component and their working, along with the history and objectives of the 5 Pen PC concept.
Atm using fingerprint
The document discusses using fingerprint biometrics for authentication in ATM machines. Fingerprints provide high universality, distinctiveness, permanence and performance making them suitable for biometric authentication. The technical processes of minutiae extraction from fingerprints and the biometric system workflow are described. Applications of fingerprint ATMs include added security for banking, membership verification, and food/ticket purchases. Potential disadvantages include false acceptance and rejection rates and issues with certain users. Future areas of development include improved matching algorithms and database security to further enhance fingerprint biometrics for ATM authentication.
Smart note taker
The document describes a seminar presentation on a Smart Note Taker device. The device allows users to write notes in the air that are then digitally stored and processed. It senses 3D shapes and motions and converts handwriting to editable text files. The presentation covers the features and technical details of the Smart Note Taker, including how it works, construction details, market opportunities, advantages over other note taking devices, and potential future applications.
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ATM Security by using Fingerprint Recognition And GSM
ATM Security by using Fingerprint Recognition And GSM
High protection ATM system with fingerprint identification technology
High protection ATM system with fingerprint identification technology
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The tumultuous increase in ATM attacks using eavesdropping, shoulder-surfing, has risen great concerns. Attackers often target the authentication stage where a customer may be entering his login information on the ATM and thus use direct observation techniques by looking over the customer's shoulder to steal his passwords. Existing authentication mechanism employs the traditional password-based authentication system which fails to curb these attacks. This paper addresses this problem using the FingerEye. The FingerEye is a robust system integrated with iris-scan authentication. A customer’s profile is created at registration where the pattern in his iris is analyzed and converted into binary codes. The binary codes are then stored in the bank database and are required for verification prior to any transaction. We leverage on the iris because every user has unique eyes which do not change until death and even a blind person with iris can be authenticated too. We implemented and tested the proposed system using CIMB bank, Malaysia as case study. The FingerEye is integrated with the current infrastructure employed by the bank and as such, no extra cost was incurred. Our result demonstrates that ATM attacks become impractical. Moreover, transactions were executed faster from 6.5 seconds to 1.4 seconds.
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This document summarizes a research paper that proposes using iris recognition and palm vein technology for credit card authentication as a more secure alternative to existing authentication methods. The paper outlines some of the limitations of current authentication methods like PINs, signatures, and fingerprints. It then describes how the proposed system would work, using iris recognition to verify a user's identity followed by palm vein scanning for authentication. The document explains the technical details of how iris recognition and palm vein scanning extract unique biometric patterns and compares them to stored templates to authenticate users. It claims the detection rate of fraud using this dual biometrics approach would be 99.995% compared to traditional methods.
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The document discusses palm vein technology, which uses the unique vein patterns in individuals' palms for biometric identification and authentication. It describes how palm vein scanning works by using infrared light to capture images of the vein patterns. The technology has very low false acceptance and rejection rates. It is highly secure because vein patterns cannot be replicated easily and remain unchanged throughout one's life. The document outlines some key applications of palm vein technology, including use for ATM access, personal computers, hospitals, and other areas requiring strong authentication.
An ATM With Third Eye The Future’s Technological Innovation
Eldad Lieberman started out a company known as elyi systems and supplied hundreds of business's with the capability to have ATM'S to enable customers to get cash to buy things.
3 layered advanced atm security
Abstract
The advancement in new technologies has significantly resulted more perfection in authentication issues. In ATM machine, access
permission is usually taking personal identification numbers (PIN) for authentication. Through this paper, this old method is
being exhausted by introducing a combination of embedded 3 layered bio-metric molding to setup an ATM simulator. Finger print
scanner, retina scanner followed by the onetime password (OTP) will help the user for smart and secured tractions. It will
reduced the duplication and makes the ATM machine more secured compare to current version.
Keywords: ATM, Biometric Security, OTP, Duplication Free, Retina Scanner.
Enhancing the Cash Point using Multimode Biometric System
Frauds attacking the automated teller machine have increased over the decade which has motivated us to use the biometrics for personal identification to procure high level of security and accuracy This paper describes a system that replaces the ATM cards and PINs by the physiological biometric face and iris authentication. In this system during enrolment the genuine users face and iris samples of are retained in the database. The process of transaction begins by getting and matching face and iris patterns. The system will automatically distinguish between real legitimate trait and fake samples. If a fake biometric is recognized a GSM module connected to the controller will message OTP by the system to the registered mobile number. After the valid OTP is entered the user can either withdraw or deposit cash or check his her balance. We have included another biometric called Palm Vien. By using Palm Vein we can access the ATM. Mr. T. Karthikeyan | Ms. Aarthi. S | Ms. Amirtha. P | Ms. Divya. R | Ms. Sowndarya. S ""Enhancing the Cash Point using Multimode Biometric System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21768.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/21768/enhancing-the-cash-point-using-multimode-biometric-system/mr-t-karthikeyan
Credit Card Duplication and Crime Prevention Using Biometrics
1. The document proposes using iris recognition and palm vein technology for credit card authentication as a way to improve security over existing methods.
2. Current authentication methods like PINs, signatures, and fingerprints have vulnerabilities like being observable and reproducible.
3. The proposed system uses iris recognition followed by palm vein scanning, comparing the biometric data to stored templates to authenticate the user. If both comparisons match, the transaction would be allowed.
4. Iris patterns and palm vein patterns are unique to each individual and difficult to reproduce, providing improved security over existing authentication methods.
Atm using finger print
This document proposes adding fingerprint authentication to ATM security to address weaknesses in traditional PIN-based security. The objective is to provide biometric security through fingerprint scanning. Fingerprints provide highly accurate identification compared to traditional security methods. Advantages include ease of use, inability to forget or lose fingerprints, and standardization. Disadvantages include potential for misidentification, high cost, and difficulties for some users like those with injuries affecting fingerprints. The conclusion is that fingerprint security provides stability, reliability, and ease of use for ATM access.
Palm vein technology
The document discusses palm vein technology, which uses near-infrared light to scan and analyze the vein patterns in a person's palm. It can be used for secure authentication, as each person's vein pattern is unique. The technology works by capturing a high-resolution image of the palm's vein pattern and converting it into biometric data for verification. It has applications in banking (ATM access), computers, hospitals, and other secure access systems due to its accuracy and difficulty to forge. The document provides details on how palm vein scanning works, its security advantages over other methods, and real-world uses.
IRJET- Artificial Intelligence based Smart ATM
This document proposes an artificial intelligence-based smart ATM system with enhanced security features. It summarizes existing ATM security issues and proposes adding biometric authentication using fingerprints instead of cards and PINs. The proposed system uses AI for easy user interaction, image processing to detect issues like insufficient funds, and additional security measures like automatic door locking, alerts to law enforcement, and limiting the number of users in the ATM area at one time. The goal is to add multiple layers of security to reduce ATM fraud and theft compared to existing card-and-PIN based systems.
Palm Vein Technology
Palm vein technology uses the unique vein patterns in people's palms as a contactless biometric identifier for authentication. It captures an infrared image of the palm veins, extracts an algorithm-based representation, and compares it to stored palm vein patterns to verify identity. Palm vein patterns are hidden, difficult to forge, and unaffected by skin or hand conditions. Studies show palm vein technology has a very low false acceptance rate of less than 0.00008% and false rejection rate of 0.01%, outperforming other biometrics like fingerprints, iris scans, and voice recognition. While palm vein authentication is highly secure, non-intrusive, and gaining applications like ATM access, it remains relatively expensive and has not seen global
technical seminar-money pad.pptx
The document describes a proposed "Money Pad" which would serve as a future wallet using biometric fingerprint recognition. The Money Pad would allow secure electronic transactions to replace paper currency. It would contain the user's fingerprint on file and only authorize transactions if their current fingerprint matches. The document outlines how the Money Pad would work, the biometric technology used, potential applications, and proposes future enhancements like using retina scans for disabled users. It concludes that the Money Pad could satisfy requirements for instant funds clearing, payment security, and strong encryption for secure transactions.
Palm vein technology latest ppt
Vishesh Gupta presents on biometric authentication using palm vein recognition technology. Biometrics can identify individuals based on physical characteristics unlike passwords which can be shared. Palm vein recognition uses infrared light to identify unique vein patterns in the palm and is highly accurate for authentication. It has a very low false rejection and acceptance rate. Applications of palm vein recognition include banking ATMs, computers, ID cards and passports, and hospitals due to its speed, inability to forge, and affordability. It can revolutionize authentication by ensuring employees work proper hours if used in government offices.
Ranjith_Bm
This document discusses various biometric identification techniques including 3D facial recognition, iris recognition, and keystroke dynamics. It provides details on how each method works, advantages, limitations, and applications. 3D facial recognition involves capturing a facial image and transforming it into a unique face print using elastic graph matching algorithms to allow identification from several meters away. Iris recognition uses the colored iris surrounding the eye which is stable over a person's lifetime allowing identification with low error rates. Keystroke dynamics analyzes typing patterns such as keystroke duration and pressure to continuously authenticate computer users with minimal hardware requirements.
D0351022026
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Maneesh p
This document discusses using biometric authentication in ATMs to enhance security in Indian e-banking. It begins by introducing the security risks with traditional ATM use of PINs. The document then outlines the objectives of studying biometric ATM technology and its role in security. It defines biometrics and describes how biometric authentication in ATMs would work using unique physical traits rather than cards and PINs. The advantages of biometric ATMs are security and accessibility, while disadvantages include cost and potential for biometric data to change. The document concludes that multimodal biometrics with two-tier security provides the highest level of protection for ATM transactions.
project_report
This document is a project report submitted by four students to fulfill the requirements for a Bachelor of Technology degree in Electronics and Communication Engineering. The project proposes developing an ATM transaction system using facial recognition technology. It discusses the need to improve security for ATM transactions due to the rise in ATM fraud. The proposed system would integrate facial recognition into the identity verification process at ATMs, using both a physical card, PIN, and facial biometrics to authenticate users and prevent fraud. The report describes the processes involved in facial recognition technology and outlines the proposed system and its components.
Palm view technology
The document discusses palm vein technology, which uses the unique pattern of veins in a person's palm for biometric identification and authentication. It provides an overview of how palm vein technology works, including how palm vein patterns are registered and used to verify a person's identity. The technology is highly secure since vein patterns are internal and difficult to forge. The document also outlines some advantages and applications of palm vein technology, such as its use for ATM access and electronic payments.
Palmvein authentication
This document summarizes palm vein technology, which uses the unique vein patterns in people's palms for identification. It works by using a sensor to capture a palm image, converting it to an algorithm, and comparing it to a database. It has applications in ATMs, libraries, and personal computers for secure identification and access. The technology offers advantages like non-contact use, accuracy, and security, though image quality can be affected by temperature and it is not yet widely available.
BIOMETRIC AND MAGIC PIN AUTHENTICATION SYSTEM FOR ATM
This document discusses a proposed biometric and magic PIN authentication system for ATMs. The system would combine the use of a physical access card, a randomly generated "MagicPIN", and facial recognition using deep convolutional neural networks. If adopted, the system aims to improve security by verifying card owners' identities through biometric authentication in addition to requiring possession of the access card. The system is intended to help solve problems of account security and ensure only the real account owner can access their accounts. It analyzes related work on ATM security and discusses how the proposed system could provide benefits like being more secure, convenient, and preventing fraud compared to existing PIN-based authentication methods.
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An eye with an atm
- 1. Prepared By:- Suraksha Sanghavi TE Computer Roll No :- 40 Guided By :- Prof.S.B.Ambhore 1
- 2. I. Introduction II. ATM III. Literature Survey IV. Iris Recognition V. WORKING VI. ADVANTAGES VII. DISADVANTAGES VIII. CONCLUSION IX. REFERENCES ATM Security WITH IRIS RECOGNITION 2
- 3. ATM Security WITH IRIS RECOGNITION 3
- 4. An automated teller machine (ATM) is : Made money transactions easy for customers to bank. Device that provides the customers of a financial transactions in a public space without the need for a bank . Security requiring combination Physical access card + Password(PIN) ATM Security WITH IRIS RECOGNITION 4
- 5. Pin People write PINs and disclose to others increasing the risk of fraud and PINs can be stolen by observation PIN is a confidential code issued to the cardholder to permit access to that account The PIN does not prove the identification of the cardholder ATM Security WITH IRIS RECOGNITION 5
- 6. Finger Printing Facial Recognition Iris Recognition ATM Security WITH IRIS RECOGNITION 6
- 7. SR.NO TECHNIQUE LIMITATION 1 Finger print It can make mistakes with the dryness or dirty of the finger’s skin 2 Facial recognition Affected by changes in lighting ATM Security WITH IRIS RECOGNITION 7
- 8. Iris technology, which uses the iris pattern of an individual as an identity proof In 1953 – Algorithm developed , First used by John Daugman As the initiative 1st the bank had installed iris based ATM’s inside Kroger Supermarket stores in Houston, Dallas and Fort Worth. ATM Security WITH IRIS RECOGNITION 8
- 9. ATM Security WITH IRIS RECOGNITION 9
- 10. Easy to access Highly protected, internal organ of the eye Limited genetic penetrance of iris patterns Patterns apparently stable throughout life High Accuracy ATM Security WITH IRIS RECOGNITION 10
- 11. Costly The person should be present at the spot. Small target Sometimes False acceptances and rejections. Flash of camera should not become so bright. ATM Security WITH IRIS RECOGNITION 11
- 12. More reliable in providing security by using iris recognition software. For scanning it required vey negligible amount of time . Permeant security password till end of life. ATM Security WITH IRIS RECOGNITION 12
- 13. 1. IJREST paper –”Security System In ATM Using Multimodal Biometric System And Steganographic Technique” Prerana Kamble1, Sangita Nikumbh P.G. Student, Department Of E&Tc , ytiet, Bhivpuri Road, Karjat 2. IJREST paper – “A Third Generation ATM Using Universal Subscriber Module with Iris Recognition “B.Sundar Raj Assistant professor, Dept of CSE, Bharath University, Chennai, TN, India. 3. IJESC paper – “ATM Security using Iris Recognition Technology and RFID (2017)” Sonakshi Bhagat, Vasudha Singh, Niteeka Khajuria BE Student Department of Electronics and Communication MIET, Jammu, India 4. www.biometric.com / Biometric Iris Recognition and Its Application 5. www.google.com/MyBlog:ATM with an Eye. 6. www.wikipedia.org/iris recognition ATM Security WITH IRIS RECOGNITION 13
- 14. ATM Security WITH IRIS RECOGNITION 14