Facial recognition system

Biometric Scan Technologies Abstract At present day’s usage of computers, laptops, mobile phones and security systems increasing day by day. In order to protect the data from unauthorized access authentication is necessary. The most common methodology used for authentication are passwords and passcodes which has some disadvantages. To overcome the disadvantages of Passwords and Passcodes, Biometric Scan Technologies are introduced. Biometric scan Technologies are most advanced and reliable authentication

Moving beyond the modern day technology that aides the common citizens, there is also an abundant amount of technology that aides in police work such as facial recognition, iris scans and mobile data terminals. Many people don’t understand how simple, yet beneficial facial recognition is in the police work. When first hearing facial recognition many minds may jump to some complex idea but the process is quite easy in fact even simple social networking

In this paper, we propose an automated system that takes the attendance of students for classroom lectures. Our system takes the attendance using face detection and face recognition. We have constructed the lecture attendance system based on face recognition, and is applied on the system of classroom lecture. This paper first reviews the related works in the field of attendance management and face recognition. The face is the identity of a person. The methods to exploit this physical feature

suitable transform domain. Whether the goal is classification or recognition, a measure of similarity or distance must be formulated and the success rate of the system evaluated. Some of the application areas of computer vision are: 1.1.1. Robotics The visual recognition of image patterns is a fundamental human attribute that uses the eye as a sensor and dedicated parts of the brain as the decision making processor. The visual recognition enables humans to perform a variety of tasks such as target identification

TITLE: Web Application based on Facial Recognition System Anand Singh, Erarica Mehra, Saundarya Dorle Anand Singh, Computer Department,DYPIEMR,thakuranand818@gmail.com Erarica Mehra, Computer Department,DYPIEMR,irarikamehra@gmail.com Saundarya Dorle, Computer Department,DYPIEMR,saundaryadorle@gmail.com ABSTRACT Police organizations depend a lot on gathering and sharing information. They are law enforcement bodies that focus on prevention of crime. They patrol the areas, respond to calls, investigate

paper specifically examines forensic facial recognition and the four different categories of techniques that aid in identification. The four techniques include, two-dimensional facial reconstruction, photographic superimposition, three-dimensional clay facial reconstruction, and three-dimensional computer-based facial reconstruction. As these techniques are discussed, the paper further outlines the limitations of each technique and the controversy over forensic facial reconstruction. There are researchers

Many people are raising the question whether using facial recognition is an invasion of privacy. The leveraging of smart phones, tablets or a computers built-in cameras, facial recognition software can be used. (Counter, P. 2014) It’s crucial to think before we go ahead with mass-marketing and produce the biometric systems is how often people bare their biometrics to the word. According to Dave Aitel “There’s no real way to conceal this data from the world”. Another problem with the use of biometrics

behavioral characteristics, which can be utilized to verify the identity of an individual. Techniques used by this technology include: fingerprinting, retinal and iris scanning, hand geometry, voice patterns, and facial recognition. These techniques were initially used in high security systems, however their use is extending into a much broader range of applications. Such applications include physical or logical access control, retail point of sale or banking transactions, and use in automated border

Abstract ABSTRACT One of the main goals of computer vision research is to develop methods for recognition of objects and events. A subclass of these problems is the recognition of humans and their activities. Recognition of humans from arbitrary viewpoints is an important requirement for different applications such as intelligent environments, surveillance and access control. Human gait is an attractive modality for recognizing people at a distance. Human gait is a spatio-temporal phenomenon

Surveillance System. A lot of human resources is used for tracking and surveillance. The effort for this report is guided for occlusion, tracking mechanism, camera shift and spacio-temporal. All these techniques can be implemented for different usages. Table of Contents: 1. Introduction……………………………………………………………………………………1 1.1 Motivation……………………………………………………………………………1 1.2 Background…………………………………………………………………………..2 2. Techniques used to solve Partial Occlusion in Face Recognition Systems……………………3