High protection ATM system with fingerprint identification technologyAlfred Oboi
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.
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.
Biometrics technology is rapidly progressing and offers attractive opportunities. In recent years, biometric authentication has grown in popularity as a means of personal identification in ATM authentication systems. The prominent biometric methods that may be used for authentication include fingerprint, palmprint, handprint, face recognition, speech recognition, dental and eye biometrics. In this paper, a microcontroller based prototype of ATM cashbox access system using fingerprint sensor module is implemented. An 8-bit PIC16F877A microcontroller developed by Microchip Technology is used in the system. The necessary software is written in Embedded 'C' and the system is tested.
High protection ATM system with fingerprint identification technologyAlfred Oboi
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.
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.
Biometrics technology is rapidly progressing and offers attractive opportunities. In recent years, biometric authentication has grown in popularity as a means of personal identification in ATM authentication systems. The prominent biometric methods that may be used for authentication include fingerprint, palmprint, handprint, face recognition, speech recognition, dental and eye biometrics. In this paper, a microcontroller based prototype of ATM cashbox access system using fingerprint sensor module is implemented. An 8-bit PIC16F877A microcontroller developed by Microchip Technology is used in the system. The necessary software is written in Embedded 'C' and the system is tested.
Biometric system is a pattern identification system that recognizes an individual by determining the originality of the physical features and behavioral characteristic of that person. Of all the recently used biometric techniques, fingerprint identification systems have gained the most popularity because of the prolonged existence of fingerprints and its extensive use. Fingerprint is dependable biometric trait as it is an idiosyncratic and dedicated. It is a technology that is increasingly used in various fields like forensics and security purpose. The vital objective of our system is to make ATM transaction more secure and user friendly. This system replaces traditional ATM cards with fingerprint. Therefore, there is no need to carry ATM cards to perform transactions. The money transaction can be made more secure without worrying about the card to be lost. In our system we are using embedded system with biometrics i.e r305 sensor and UART microcontroller. The Fingerprint and the user_id of all users are stored in the database. Fingerprints are used to identify whether the Person is genuine. A Fingerprint scanner is used to acquire the fingerprint of the individual, after which the system requests for the PIN (Personal Identification Number). The user gets three chances to get him authenticated. If the fingerprints do not match further authentication will be needed. After the verification with the data stored in the system database, the user is allowed to make transactions.
This presentation includes introduction, working principle, technology & experimental observation of palm vein technology on the basis of which it is considered as the one of the most secure authentication technology among all other technologies.
Fingerprint Authentication for ATM was about the biometric authentication security system for ATM which enabled the fingerprint authentication for traditional cash machines.
# Synopsis
https://www.slideshare.net/ParasGarg14/project-synopsis-68167417
# Report
https://github.com/ParasGarg/Fingerprint-Authentication-for-ATM/blob/master/Reports/Project%20Report.pdf
# Code
https://github.com/ParasGarg/Fingerprint-Authentication-for-ATM
Biometric system is a pattern identification system that recognizes an individual by determining the originality of the physical features and behavioral characteristic of that person. Of all the recently used biometric techniques, fingerprint identification systems have gained the most popularity because of the prolonged existence of fingerprints and its extensive use. Fingerprint is dependable biometric trait as it is an idiosyncratic and dedicated. It is a technology that is increasingly used in various fields like forensics and security purpose. The vital objective of our system is to make ATM transaction more secure and user friendly. This system replaces traditional ATM cards with fingerprint. Therefore, there is no need to carry ATM cards to perform transactions. The money transaction can be made more secure without worrying about the card to be lost. In our system we are using embedded system with biometrics i.e r305 sensor and UART microcontroller. The Fingerprint and the user_id of all users are stored in the database. Fingerprints are used to identify whether the Person is genuine. A Fingerprint scanner is used to acquire the fingerprint of the individual, after which the system requests for the PIN (Personal Identification Number). The user gets three chances to get him authenticated. If the fingerprints do not match further authentication will be needed. After the verification with the data stored in the system database, the user is allowed to make transactions.
This presentation includes introduction, working principle, technology & experimental observation of palm vein technology on the basis of which it is considered as the one of the most secure authentication technology among all other technologies.
Fingerprint Authentication for ATM was about the biometric authentication security system for ATM which enabled the fingerprint authentication for traditional cash machines.
# Synopsis
https://www.slideshare.net/ParasGarg14/project-synopsis-68167417
# Report
https://github.com/ParasGarg/Fingerprint-Authentication-for-ATM/blob/master/Reports/Project%20Report.pdf
# Code
https://github.com/ParasGarg/Fingerprint-Authentication-for-ATM
IRIS Recognition Based Authentication System In ATMIJTET Journal
Security and Authentication of individuals is necessary for our daily lives especially in ATMs. It has been improved by using biometric verification techniques like face recognition, fingerprints, voice and other traits, comparing these existing traits, there is still need for considerable computer vision. Iris recognition is a particular type of biometric system that can be used to reliably identify a person uniquely by analyzing the patterns found in the iris. Initially Iris images are collected as datasets and maintained in agent memory. Then the Iris and pupil are detected from the image, removing noises. The features of the iris were encoded by convolving the normalized iris region with 2DGabor filter. The Hamming distance was chosen as a matching metric, which gave the measure of how many bits disagreed between the templates of the iris.
Fingereye: improvising security and optimizing ATM transaction time based on ...IJECEIAES
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.
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.
Enhancing the Cash Point using Multimode Biometric Systemijtsrd
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
This paper proposes the need of authenticated voting system in our election due to the increase in illegal voting or bogus voting in Loksabha and Rajyasabha election. Here the authentication of an individual is done using biometric and eligibility of the voter is verified using the Aadhar card. In this project, the database stored in the Aadhar card provides the reference data. Moreover, added tier of security is enforced as biometrics. The key functions of this paper are enrolment and matching. Initially, the voters’ fingerprints are enrolled and stored. Once the fingerprints are stored it can be retrieved at any time for authentication. During election, when the voter keeps his/her fingerprint the already stored Aadhar card details will be displayed from the database. An individual’s details can be deleted from the database if not required. The use of biometric requires less man power, save much time for voters and personnel, ensures accuracy, transparency and avoids bogus voting.
India is one of the countries which has the electronic voting machine for parliamentary and assembly polls. But in every poll election commission is facing so much of troubles and various types of issues through the election. The most familiar issue which is faced by the election commission is, no proper acknowledgement regarding the confirmation of casting the votes, duplication or illegal casting of votes. In this project all these issues has been handled and overcome with the perfect solution. The main advantage of this project is handling of data by using biometric system such as finger print and face recognition (is done by masking technique). This is used to ensure the security to avoid fake and repeating voting. It also enhances the accuracy and speed of the process. The system performs with perfect recognition on a face and thumb impression of all the eligible voters in a constituency, which is done as pre-polled procedure. During election, thumb impression and face templates of voters is given as an input to the system. This is then compared with the already stored database and available records. If the particular pattern matches with the record then the voters are allowed to vote but incase if it doesn’t match or in case of repetition, voters vote are denied or gets rejected. The result is instant and counting is done.
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.
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of biometrics are improving rapidly, making many new applications possible, particularly for fingerprinting in phones. Improvements in cameras and other electronics are making optical, capacitive, and ultrasound sensors better. Improvements in microprocessors are making the matching algorithms operate faster and with higher accuracy. We expect biometrics to become widely used in the next few years beginning with smart phones and followed by automobiles, homes, and offices. Better biometrics in smart phones will promote security and mobile commerce.
Face Recognition Based Automated Student Attendance Systemijtsrd
Face recognition system is very beneficial in real time applications, concentrated in security control systems. Face Detection and Recognition is a vital area in the province of validation. In this project, the Open CV based face recognition strategy has been proposed. This model integrates a camera that captures an input image, an algorithm Haar Cascade Algorithm for detecting face from an input image, identifying the face and marking the attendance in an excel sheet. The proposed system implements features such as detection of faces, extraction of the features, exposure of extracted features, analysis of students attendance, and monthly attendance report generation. Faces are recognized using advanced LBP using the database that contains images of students and is used to identify students using the captured image. Better precision is accomplished in results and the system takes into account the changes that occurs in the face over some time. Ms. Pranitha Prabhakar | Mr. Kathireshan "Face Recognition Based Automated Student Attendance System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38083.pdf Paper URL : https://www.ijtsrd.com/computer-science/other/38083/face-recognition-based-automated-student-attendance-system/ms-pranitha-prabhakar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
1. ATM using Fingerprint
Mentor:
Mrs. Sanchita Saha,
Asst. Professor,
Haldia Institute of Technology
By:
Group 5
Anish Kumar (12/CS/60)
Ankit Agarwal (12/CS/61)
Apurva (12/CS/68)
3. Introduction
Automated Teller Machine(ATM):
It is an electronic telecommunications device that provides the customers of a
financial institution with the ability to perform financial transactions without the
need for a human clerk or bank teller.
Biometrics:It is the science of establishing the identity
of an individual based on the physical, chemical or
behavioral attributes of the person.
Fingerprint: A fingerprint is the pattern of ridges and
valleys on the surface of a fingertip whose formation is
determined during the first seven months of fetal
development
4. Why fingerprint biometric??
High Universality
High Distinctiveness
High Permanence
High Performance
High Acceptability
No risk of Forgetting
Can’t be stolen
Denial Of Identity
9. Disadvantages
Users who exhibit large intra-class variations are prone to
false reject error.
Users whose biometric feature set overlaps with other
individual are prone to false accept error.
Physically handicapped person cannot use this system.
Occupational reasons.
High processing time.
Costly.
Hacking Of Database or fingerprint templates.
10. Future Scope
Finger-pin.
Improved feature extraction and matching algorithms.
Securing fingerprint based biometric system.
Performance can be improved in terms of speed and memory.
11. Conclusion
By using ATM using fingerprint we will be able to establish
identity based on who we are rather than what we possess or
what we remember. Much as the system may be costly to a
financial institution and the time to make a transaction on an
ATM may be increase but safety of people’s money should be
considered as first priority.
12. References
http://www.bankinfosecurity.com/
ATM Security Using Fingerprint Biometric Identifier: An
Investigative Study (IJACSA)
Handbook of Biometrics by Anil K. Jain ,Patrick Flynn,
Arun A. Ross
Wikipedia
http://slideshare.net/
