BIOMETRIC IDENTIFICATION IN ATM’S PPT

The 3-D password is a multifactor authentication scheme that combines these various authentication schemes into a single 3-D virtual environment. The virtual environment can contain any existing authentication scheme or even any upcoming authentication schemes by adding it as a response to actions performed on an object. Therefore, the resulted password space becomes very large compared to any existing authentication schemes.

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.

This document discusses biometric authentication using facial recognition technology in automated teller machines (ATMs). It provides an introduction to biometrics and how facial recognition works by measuring distinct facial features to create a unique numerical code or "faceprint". The document also outlines the process of biometric systems from data collection and transmission to decision making. It discusses some applications of biometrics like access control and benefits like increased reliability but also challenges like costs. In conclusion, it proposes using facial recognition in ATMs to provide more secure authentication while reducing fraudulent activities compared to traditional authentication methods.

1. The document lists over 100 potential seminar topics in computer science and information technology, ranging from embedded systems and extreme programming to biometrics, quantum computing, and more. 2. Some examples include elastic quotas, electronic ink, gesture recognition, graphics processing units, grid computing, and honeypots. 3. The broad range of topics provide many options for students or professionals to explore emerging technologies and issues in computing.

This document summarizes a seminar presentation on ISPHERE technology for intuitive 3D modeling. ISPHERE is a spatial input device designed to reduce cognitive load. It is a foldable dodecahedron with capacitive sensors on each face that can detect hand movements and positions. The hardware sensors are connected to a microcontroller and software maps the input to manipulate 3D objects in modeling programs. The system allows more natural interactions like squeezing and stretching parts of a virtual object to transform it.

Gestures are an important form of non-verbal communication between humans and can also be used to create interfaces between humans and machines. There are several types of gestures including emblems, sign languages, gesticulation and pantomimes. Gesture recognition allows humans to interact with computers through motions of the body, especially hand movements. Some methods of gesture recognition include device-based techniques using sensors on gloves, vision-based techniques using cameras, and controller-based techniques using motion controllers. Gesture recognition has applications in areas such as virtual controllers, sign language translation, game interaction and robotic assistance.

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.

Fingerprint recognition is a biometric technique that uses fingerprint patterns to identify or verify individuals. It works by extracting minutiae points like ridge endings and bifurcations from scanned fingerprints and matching them against a database. The process involves fingerprint acquisition using optical or semiconductor sensors, minutiae extraction after preprocessing and thinning the image, and minutiae matching for verification or identification. Fingerprint recognition has applications in security systems and has advantages of high accuracy and small storage requirements, though it can be affected by dirty or wounded fingers.

The document discusses EyePhone, a proposed technology that would allow users to control a mobile phone using only their eyes. EyePhone tracks eye movement and blinks using the front-facing camera to navigate menus, select applications, and emulate mouse clicks. It works through four phases - eye detection, open eye template creation, eye tracking through template matching, and blink detection. Potential applications include an "EyeMenu" interface and monitoring driver safety in cars. The document concludes that EyePhone shows promise as a hands-free way to control mobile devices.

The Internet of Things (IoT) is the network of physical objects devices, vehicles, buildings and other items embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data. Starting from small houses to huge industries, surveillance plays very vital role to fulfill our safety aspects as Burglary and theft have always been a problem. In big industries personal security means monitoring the people’s changing information like activities, behavior for the purpose of protecting, managing and influencing confidential details. Surveillance means watching over from a distance by means of electronic equipment such as CCTV cameras but it is costly for normal residents to set up such kind of system and also it does not inform the user immediately when the burglary happens.

This document discusses touchless technology that allows users to interact with screens without physically touching them. It describes a touchless monitor developed by TouchKo, White Electronics Designs, and Groupe 3D that uses sensors around the screen to detect 3D motions and interpret them as on-screen interactions. The document also mentions several other touchless technologies like the Touchless SDK, Touch Wall, eye tracking devices, gesture recognition tools, and motion sensors that enable touchless control of devices.

The document summarizes a seminar report on Money-Pad, a proposed future wallet that holds digital cash and financial information rather than paper cash. Money-Pad uses biometric fingerprint recognition for secure authentication of transactions. It allows for instant clearing of funds without transaction fees or credit limits. In the future, as internet access expands globally, financial transactions may be conducted via small fingerprint recognition devices without need for physical cards or pads.

The document discusses a smart note taker product that allows users to write notes in the air that are then digitally stored. It works by using a digital pen connected to a processor that senses hand motions and shapes using a database to recognize words. Notes can then be viewed on a display, shared digitally, or printed. Current products mentioned include mobile note takers that work with smartphones and PC note takers that capture and display writing in real time on a computer. Advantages include assistance for blind users and note-taking during phone calls or presentations.

Screenless display is the present evolving technology in the field of the computer-enhanced technologies.

This document provides an overview of gesture recognition technology. It begins with introducing gestures as a form of non-verbal communication and defines gesture recognition as interpreting human gestures through mathematical algorithms. It then discusses the motivation for gesture recognition, including its naturalness and applications in overcoming interaction problems with traditional input devices. The document outlines different types of gestures, input devices like gloves and cameras, challenges like developing standardized gesture languages, and uses like sign language recognition, virtual controllers, and assisting disabled individuals. It concludes with references for further reading.

Smart dust is a network of tiny sensor-enabled devices called motes that can monitor environmental conditions. Each mote contains sensors, computing power, wireless communication, and an autonomous power supply within a volume of a few millimeters. They communicate with each other and a base station using radio frequency or optical transmission. Major challenges in developing smart dust include fitting all components into a small size while minimizing energy usage. Potential applications include environmental monitoring, healthcare, security, and traffic monitoring.

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.

This document discusses biometric ATMs as an authentication method that uses physiological characteristics like fingerprints instead of passwords or cards. It notes that biometric ATMs can help solve issues with ATM fraud by providing stronger authentication through factors like fingerprint, iris, or facial recognition alone or combined with cards and PINs. The document outlines the components of a biometric system and various biometric methods like fingerprints, facial recognition, iris scans that are being used in biometric ATMs. It suggests biometric ATMs can reduce costs compared to traditional card-based ATMs while providing convenient and secure access for users.