Bio atm with-microsoft_finger_print_sdk
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can use fingerprint sdk to authenticate user using fingers. this is a simple demonstration where biometric authentication with fingerprint used for ATM
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This document summarizes a research paper on implementing a fingerprint-based biometric authentication system for ATMs using a PIC microcontroller. It describes how fingerprint identification works by analyzing ridge and valley patterns. The system uses a PIC16F877A microcontroller to collect fingerprint data from a fingerprint sensor module and match it to an enrolled fingerprint template to authenticate users. If a match is found, the ATM cashbox opens, and if not, an alarm sounds. The document discusses the methodology, advantages, limitations and components of the system, including the fingerprint sensor, microcontroller, LCD display, motor driver, and buzzer.Security
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# 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
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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.
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This document provides an overview of biometric authentication techniques. It discusses the three main types of authentication: something you know, something you have, and something you are. Biometrics is defined as using automated methods to identify individuals based on physical or behavioral characteristics. Common biometric traits include fingerprints, face, iris, voice, and signature. The document outlines how biometric systems work, including enrollment, storage, and comparison of biometric data. It also discusses components, modalities, applications, advantages, and disadvantages of biometric authentication.
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The document discusses digital signatures, including how they work, their history, applications, and legal status in India. A digital signature uses public and private keys to authenticate a message sender's identity and verify that the message was not altered. It explains how digital signature certificates are issued by certified authorities and associate an individual's identity with their public and private keys. The document also addresses frequently asked questions about digital signatures, such as how they provide security, who issues them, how long they are valid for, and their legal standing.
Biometrics
The document discusses biometrics, which is the automated measurement and analysis of biological data to identify individuals. It provides an introduction to biometrics and its history, importance, characteristics including physical (e.g., fingerprints, iris) and behavioral (e.g., voice, signature) traits. The biometrics process and applications in security, time/attendance, and access control are described. Advantages include uniqueness and accuracy, while disadvantages include costs and potential for false matches. The future of biometrics is promising with emerging technologies like ear and odor identification.
Biometrics
This presentation discusses biometrics, which refers to using physiological or behavioral characteristics to identify individuals. It covers various biometric methods like fingerprints, iris scans, facial recognition and voice recognition. These can be used for identification or verification purposes. The document also discusses applications of biometrics in areas like border security, ATMs and building access. While biometrics provide improved security, some methods are costly and biometric features may change over time posing challenges. The presentation concludes that adoption of biometrics will be important for security across various sectors going forward.
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# Synopsis
https://www.slideshare.net/ParasGarg14/project-synopsis-68167417
# Report
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# Code
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This document provides an overview of an online hotel management system project. It includes an introduction to online hotel management and the benefits it provides. The document then outlines the various sections that will be included in the project such as requirements, objectives, analysis, design, and implementation. It discusses the key modules that will be developed including booking management, payment processing, and reporting. The goals of the project are to create a web-based system that allows customers to book hotels online and for hotels to manage reservations and payments electronically.
ATM USER ACCOUNT SECURE BY USING GSM TECHNOLOGY
The aim of our project to reduce the amount thefting& hacking through ATM.
Now a days there is no secure for money.
Fingerprintattendancesystem 131016052949-phpapp01
This document describes a fingerprint attendance system that uses biometric fingerprint recognition for access control and attendance monitoring. The system utilizes an embedded microcontroller, fingerprint sensor module, GSM module, LCD display and other components. It is designed to accurately identify authorized individuals through their fingerprints in order to maintain attendance records, prevent manipulation, and make cheating impossible. Potential applications of the system include monitoring employee attendance in offices, industries, and other organizations.
Library management
This document describes a library management system that was developed to manage operations in a library. The system allows users to issue and return books, and provides features for librarians to add members, books, and manage check-in specifications. Diagrams including class, state, use case, sequence, and activity diagrams were created to model the system. The purpose is to computerize library functions and contribute to digitalizing libraries.
Fingerprint Identification
Fingerprints are unique and can be used to identify individuals. They are comprised of ridges and valleys that form distinctive patterns classified as loops, whorls, or arches. Fingerprint identification involves comparing ridge characteristics like ending ridges, bifurcations, and dots between two prints and looking for multiple matching characteristics in the same relative positions to determine a match. While some countries have a set number of ridge characteristics required for identification, examiners in the US can use their experience and discretion to decide based on print clarity and uniqueness.
Computer Vision
Computer vision is a field that uses techniques to electronically perceive and understand images. It involves acquiring, processing, analyzing and understanding images and can take forms like video sequences. Computer vision aims to duplicate human vision abilities through artificial systems. It has applications in areas like manufacturing inspection, medical imaging, robotics, traffic monitoring and more. Some techniques used in computer vision include image acquisition, preprocessing, feature extraction, detection, recognition and interpretation.
Advanced vehicle security system using fingerprint & gsm new
This document describes an advanced vehicle security system that uses fingerprint and GSM module for authentication. The system aims to provide a more secure and reliable authentication method compared to existing technologies. It consists of a fingerprint sensor module, GSM modem, microcontroller, relay driver, LCD display, and vibration sensor. The fingerprint module scans and identifies fingerprints, while the GSM modem enables remote authentication via SMS. If authentication succeeds, the relay driver will start the vehicle. This provides a low-cost security system with advantages like reliability, security, and ease of use. Potential applications include securing cars, motorcycles, and other vehicles or devices.
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ATM Security by using Fingerprint Recognition And GSM
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Embedded System Design for Iris Recognition System.
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Advanced vehicle security system using fingerprint & gsm new
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Mobile Authentication with biometric (fingerprint or face) in #AndroidAppDeve...
The document discusses biometric authentication on Android devices using fingerprints or facial recognition. It provides an overview of biometric authentication, how it works, and the steps to implement it in an Android app. Biometric authentication uses unique human characteristics to verify identity. The document outlines the Android biometric architecture, permissions needed, and how to create a BiometricPrompt instance to authenticate users. It stresses the importance of securely storing biometric data and templates to prevent hacking and privacy issues.
De-Duplication-01-03-2011
This document discusses multi-biometric solutions for large-scale identification and de-duplication for national ID issuance. It describes Neurotechnology's MegaMatcher product suite, including MegaMatcher SDK for fingerprint, face, and iris recognition. MegaMatcher Accelerator can match millions of fingerprints or irises per second. MegaMatcher on Card allows for match-on-card biometrics storage and matching within smart cards. Case studies of national ID systems in Bangladesh, Indonesia, Poland, Bosnia, El Salvador, and a Mexican tax agency project are also mentioned.
Fingerprint combination for privacy protection
we propose here a novel system for protecting finger print privacy by combining two different fingerprints into a new identity. In the enrollment, two fingerprints are captured from two different fingers
Thus, a new virtual identity is created for the two different fingerprints, which can be matched using minutiae-based fingerprint matching technique.
IRJET- Secure Automated Teller Machine (ATM) by Image Processing
1) The document discusses using image processing techniques like fingerprint scanning, iris scanning, and face recognition for secure authentication in automated teller machines (ATMs).
2) It analyzes different biometric methods and proposes two algorithms that use biometrics like fingerprints for verification to prevent fraudulent ATM access and reduce attacks on the system.
3) The algorithms are meant to provide a higher level of security compared to existing ATM systems by making the ATM only accessible based on biometric matching, though implementing such a system comes at a higher cost.
IRJET- Survey on Development of Fingerprint Biometric Attendance Management S...
The document discusses a proposed smart attendance management system that integrates fingerprint biometric authentication with wireless connectivity. The system uses an Android mobile application to register users and record their attendance through fingerprint scans. It ensures employees are physically present at work by only allowing attendance checks when the mobile device is connected to the organization's wireless router. This prevents employees from falsely checking in without remaining on-site. The system aims to reduce costs compared to traditional fingerprint scanners while providing increased portability and convenience through the use of mobile phones and wireless technology.
Smart Attendance System using Raspberry Pi
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
The Survey of Architecture of Multi-Modal (Fingerprint and Iris Recognition) ...
Biometrics based individual identification is observed as an effective technique for automatically knowing, with a high confidence a person’s identity. Multi-modal biometric systems consolidate the evidence accessible by multiple biometric sources and normally better recognition performance associate to system based on a single biometric modality.Multi biometric systems are used to overcome this issue by providing multiple pieces of indication of the same identity. This system provides effective fusion structure that combines information provided by the multiple field experts based on decision-level and score-level fusion method, thereby increasing the efficiency which is not conceivable in uni-modal system.Multi-modal biometrics can be attained through a fusion of two or more images, where the subsequent fused image will be more protected. This paper discusses various fusion techniques, architecture of multi-modal biometric authentication and working of biometric fusion i.e. Iris and Fingerprint recognition that are used in multi-modal biometrics
3 d
This document proposes a new authentication scheme called 3D passwords. It summarizes some limitations of existing authentication techniques like textual passwords and graphical passwords. 3D passwords aim to overcome these limitations by combining recognition, recall, tokens, and biometrics into a 3D virtual environment where a user's interactions with objects constitute their unique password. The proposed 3D password scheme provides advantages like flexibility, strength, and ease of memorization compared to other authentication methods.
Fingerprint Based Voting
This document summarizes a research paper on a fingerprint-based voting system. The proposed system uses fingerprint recognition via the SIFT algorithm to authenticate voters on a mobile app. Voters would register by submitting their fingerprint, which would be stored in a database. On voting day, voters can cast their ballot from home by submitting their fingerprint for verification through the app. This avoids public gatherings that could spread disease. The system design involves fingerprint image capture, database storage, verification of stored prints, and electronic ballot casting. Testing showed fingerprint matching rates over 80% using this approach. The system aims to increase accessibility, security and efficiency of voting.
Biometric security using cryptography
This document discusses biometrics and biometric encryption. It begins with an introduction to biometrics and biometric principles and standards. It then discusses different methods to securely store cryptographic keys using biometrics, including biometric encryption. The document compares userID-based keys to biometric-based keys. It also covers advantages and threats of biometric systems, as well applications of biometric systems. In conclusion, the document provides an overview of biometrics and biometric encryption.
I017335457
The document summarizes a proposed method for enhancing iris scanning security using visual cryptography. It begins with an abstract describing iris scanning biometrics and the issue of securely storing templates in a database. It then proposes using visual cryptography to divide scanned iris images into shares that are stored instead of the original template. The document provides background on iris scanning and visual cryptography. It describes the proposed system architecture which uses visual cryptography to generate two shares from the iris template during enrollment - one stored in the database and one kept privately. During authentication, the iris is rescanned and compared to the stored share template for verification. Future work could extend this approach to work with color iris images. The visual cryptography method is concluded to generate meaningful shares for more secure and
“Enhancing Iris Scanning Using Visual Cryptography”
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
We Know Your Type
Keystroke dynamics is a behavioral biometric technology that authenticates users based on their unique typing rhythm. It provides a solution to common password vulnerabilities like passwords being shared or stolen. The technology originated from analyzing the unique rhythms of Morse code operators during World War II. It is a software-only solution that does not require special devices and can integrate easily with existing systems. A company called BIOPASSWORD provides keystroke dynamics products and solutions to help organizations secure access and comply with privacy regulations.
Alaa elbeheri research_presentation
This document discusses emerging technologies related to computer inputs, outputs, and biometrics for user verification. It describes various input methods like keyboards, mice, and touch screens. It also covers output devices like screens, printers, and speakers. The document focuses on biometrics like fingerprint, facial, iris, retina, voice, signature/handwriting, and keystroke recognition. Biometrics provide automated user identification and verification by analyzing unique physiological or behavioral characteristics. Properly implemented biometrics can improve security, provide audit trails, and accurately verify identities.
Fingerprint detection
This is a complete report on Bio-metrics, finger print detection. It include what finger print is, how to scan and refin finger print, how the mechanism of its detection work, applications, etc
Behavioral biometrics
Behavioral biometrics is the field of study connected with the proportion of extraordinarily recognizing and quantifiable examples in human exercises. The term stands out from actual biometrics, which includes inborn human attributes, for example, fingerprints or iris designs.
Face Recognition Technology
Face recognition technology uses physiological biometrics to uniquely identify individuals based on measurements and data derived from their faces. It works by enrolling users through facial image capture and template generation, then performing matching of live facial images against stored templates for identification or verification. While fast and convenient, face recognition has limitations in accuracy depending on lighting, facial expressions, and angle of capture. It has applications in security, law enforcement, and commercial identity verification.
Nt1330 Week 1 Case Study Of EAP.pdfNt1330 Week 1 Case Study Of EAP
Authentication is a key part of securing information systems and protecting confidential data. Common authentication methods include username and passwords, but these are often insufficient on their own. A multi-layered approach is needed that also considers authorization, encryption, auditing, and identifying vulnerabilities through testing. Careful planning around authentication, authorization, encryption, auditing, and testing is necessary when designing new information systems to protect sensitive data and systems from security threats.
Brafton White Paper Example
The document discusses the future of mobile authentication and the potential for multimodal biometrics to replace passwords. It argues that passwords are outdated and insecure, while biometrics offer a more convenient and secure alternative. Specifically:
- Multimodal biometrics, which use multiple biometric factors (like facial recognition and voice analysis) simultaneously, improve security by making spoofing more difficult. They also improve the performance and usability of biometric authentication.
- Biometrics are evolving rapidly and adoption is increasing exponentially. When combined through multimodal authentication, biometrics are expected to permanently replace insecure password-based authentication.
- The document concludes by noting that the best architecture approach (device-centric vs. server-centric) for
AI Approach for Iris Biometric Recognition Using a Median Filter
The Artificial Intelligence approach is used for Iris recognition by understanding the distinctive and measurable characteristics of the human body such as a person’s face, iris, DNA, fingerprints, etc. AI methods analyzed the attributes like iris images. Privacy and Security being a major concern nowadays, Recognition Technique can find numerous applications.
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Bio atm with-microsoft_finger_print_sdk
- 1. Mahesh Shitole Associate Software Engineer Knowledge Quest Infotech With Microsoft Fingerprint SDK
- 5. Procedure……
- 9. Microsoft Fingerprints SDK V ersion: 2007 Release Date : 9.28.2007 Size : 16.21Mb License : Commercial Price : $66
- 12. FIRST BIO METRIC MOBILE ATM IN INDIA Andhra Bank started first Biometric -ATM
- 13. Class Diagram
- 14. Use Case Digram
- 15. Activity Diagram
- 16. Sequence Diagram
Editor's Notes
- Bio-ATM