Facial recognition system

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

In last few years, Identification Systems has received a lot of attention in various areas like Academics, Entertainment, Biomedical, Business communities etc. Biometric Identification systems have emerged as a preferred alternative to traditional forms of Identification. Several Biometric modalities research includes Fingerprint, Iris, Face and Retina recognition has got varying level of success. Our system is concerned with Thermal Imaging for Facial recognition. The convective heat transfer effect

Most widely used biometric trait for this Biometric Encryption include Fingerprint, Face Recognition, Hand Geometry, Iris Scan, etc. The key is generated again only if the correct live biometric sample is provided on verification. The digital key (password, PIN, etc.) is randomly generated on enrolment, so that the user (or anybody else) does

face for biometric recognition. Our previous experiments with ear and face recognition, using the standard principal component analysis approach, showed lower recognition performance using ear images. We report results of similar experiments on larger data sets that are more rigorously controlled for relative quality of face and ear images. We find that recognition performance is not significantly different between the face and the ear. Haitao Zhao, Pong Chi Yuen says face recognition has been an active

Introduction Developed in the 1960s, facial recognition technology has been used by the government and companies to identify people by matching them to photos. The data for this software was originally entered manually, limiting the scope of use. By 2001, the novelty of more powerful facial recognition technology grasped the public’s attention. During the January 2001 Super Bowl, surveillance cameras captured images to find people with a criminal record (FBI 2013). This potential invasion of privacy

Occlusion the performance of the face recognition algorithms under occlusion is in general poor. The face may be occluded by other objects in the scene or by sunglasses or other things. Occlusion may be unintentional or intentional. Under some conditions subjects may be motivated to thwart recognition efforts by covering portions of their face. Since in many situations, the goal is to recognize none or even un-cooperating subjects. Time delay Faces change over time. There are changes in hair style

determining the perpetrator of a crime, fingerprint identification and biometric facial recognition are commonly used forensic methods. Fingerprint identification, which is defined by Thomas E. Baker (2016) as “the matching of fingerprint patterns found on surfaces to those of known persons” (Thomas E. Baker, 2016), has long been an accurate way of identifying persons since the early 20th century. Biometric facial recognition on the other hand, is a method of identification which has come into fruition

Facial identification research is important not only because of its practical implications, but also due to its relevance to psychological theory (Bornstein, Deffenbacher, Penrod, & McGorty, 2010). An understanding of this concept extends itself to encoding, storage, and forgetting mechanisms, all equally important for memory (Bornstein et al., 2010). Previous meta-analyses on facial identification have placed value on sequential versus simultaneous lineup, confidence-accuracy relationships, instructions

into the history of biometrics and why it was devised, past implementations of biometrics, current implementations of biometrics, and future implementations of biometrics. 2. Importance of Biometrics Biometrics are important to not only information systems, but to information security as a subject. Today, most information is kept secure via ID cards or secret information, such as a PIN, password, pattern, etc., the downside to this type of security is the lack of a failsafe (Ashok, Shivashankar and