Facial recognition system

CHAPTER 1 FACIAL RECOGNITION SYSTEM 1.1 INTRODUCTION A biometrics is, “Automated methods of recognizing an individual based on their unique physical or behavioral characteristics.” For example face, fingerprint, signature, voice etc. Face recognition is a task humans perform remarkably easily and successfully. In face recognition Features extracted from a face are processed and compared with similarly processed faces present in the database. If a face is recognized it is known or the system may show

||shree|| Abstract:- In this paper we propose a smart emotion based music player with sleep alert system. The objective of this paper is to introduce needs and applications of facial expression recognition. The proposed system has a camera to capture the user’s facial expression. By analyzing the expressions, the system will get idea about user’s emotion. After getting idea about emotion , the music player will start playing music as per the user’s emotion. Simultaneously

Facial recognition is a technological product of the digital age that is continuing to evolve. The efficiency of the technology is an asset to crime detectives apprehending criminals, or the government tracking suspected terrorists for the safety of the country. It can also be used on a corporate level to allow a business to understand their ideal customer, or to increase the intractability of their website. While these abilities are positives to the people using them, the data collection may be

identification devices and facial recognition software. The ability to track via radio waves with a small microchip that’s placed on an item with the capability of being scanned with a particular device is a radio frequency identification device or RFID (Ferrell & Hartline, 2014). Researchers believe that facial recognition is just a simple measurement of point across that face that will compile into a set pattern for an individual (Hecht, 2014). In my opinion, facial recognition advertising would pose

in2 Abstract: -Face recognition system presents a challenging problem in the field of image processing and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction, facial expression, and aging. One of them is Identical twin face recognition is a challenging task due

Seminar Report on ‘Age-invariant Face Recognition’ Submitted by:- Namit Ohri (12213010) Submitted to:- Dr. Pyari Mohan Pradhan DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING INDIAN INSTITUTE OF TECHNOLOGY ROORKEE - 247667 Abstract A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the challenges in face recognition is to come up with a matching model

In the 1960s, the first automated facial recognition system was developed and implemented by the United States federal government and required a user to pinpoint features.(FBI) However, due to advancements in facial recognition technology, companies and governments are capable of creating software and phone applications that implement face recognition. One controversial use of face recognition is Nametag, an app developed by FacialNetwork, which is capable of identifying an individual and finding

key distinctions which have been made about normal face processing, based on the research into prosopagnosia: the distinction between the systems involved in face and object processing; the distinction between the emotional response and conscious response of recognising faces; the distinction between the areas involved in recognising facial identity and facial

can be used in airport security, building access, cars, schools etc. A biometrics system is a recognition system that authenticates a person by his/her different biometrical factors. There are two types of biometrical factors:- • Physiological characteristics: This is very unique to every human being like finger prints, retina scan, face recognition etc. • Behavioural characteristics:

Authentication Systems, which was once Analysis of Security Flaws and Privacy Concerns Regarding Biometric Authentication Systems, and a Brief Overview on Suggestions to Alleviate them Abstract - Biometric Authentication Systems, which was once ridiculed as, a simple construct of Fiction and Sci-Fi Writers have not only penetrated our day to day life, but have grown immensely popular over the last decade with advancement in sensor technologies and efficient pattern recognition machine learning