Facial Recognition Systems, Is This an Effective Tool for Security?

Biometrics technology aims at utilizing major and distinctive characteristics such as behavioral or biological, for the sake of positively indentifying people. With the help of a combination of hardware and specific identifying sets of rules, a basic human attribute, automated biometric recognition mimics to distinguish and categorize other people as individual and unique. But the challenges surrounding biometrics are great as well.

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 harming more than it is helping. Considering the benefits of facial recognition, it is important for people to see what they are giving up for a more efficient experience. Facial recognition technology forces users to relinquish control of their own

The digital image of the face of a person can be matched against a record of other images by using face recognition software. In case that some of the images in the database go with the digitized image, the owner is reported about it by the system. Automatic face recognition has been studied and investigated extensively since 1990s and its usage is turning out to be no-nonsense in the present times. Although a number of automatic face recognition applications are relatively agreeable and harmless (access regulation to armaments, currency, illegal proof, nuclear equipment/supplies etc), there are still several dangers of face recognition systems that include violation of privacy and civil liberties, unrestrained exploitation, identity theft, illegal use of database, free access to personal data on social media etc. (Agre, 2001).

I concur with you on the use of biometrics by the government, and especially facial recognition to apprehend criminals. The recent rise in criminal cases can be halted if such a system is deployed. Biometrics can never go wrong and is in fact one of the most accurate ways of identifying people. If the government can be able to launch a system that can capture personal specifications, it can be really helpful.

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 under the pretense of public safety sparked a public debate about what private information the government was allowed to take from us. So should we be putting limitations on the use of facial recognition software in America in order to keep

It reasons that police cannot rely “solely” on facial recognition to make an arrest; however, this leaves a very dubious line regarding the extent of which they will rely on this software. Additionally, they argue that social media accounts will not be used in the database; however, they state that this will only be true during the pilot phase. This means that as the database becomes more widely used and exits the pilot phase, it will begin collecting more information about citizens not only in public, but also their personal lives and social media

Biometrics is a method of identifying an individual based on characteristics that they possess, typically physiological features such as a fingerprint, hand, iris, retina, face, voice, and even DNA. Some methods of biometrics security even use multiple physiological features or multimodal biometrics to provide superior security than a single form of biometrics can provide. Why are biometrics important in the field of information security? Biometrics provide a remarkable amount of security for information because biometrics are unique to each person, and thus cannot be lost, copied, or shared with another individual. This security allows for biometrics to provide a means to reliability authenticate personnel. The importance of biometrics can be further divided into the history of biometrics and why it was devised, past implementations of biometrics, current implementations of biometrics, and future implementations of biometrics.

To what extent should governments and companies be using biometric information obtained from facial recognition technology for surveillance and convenience in identifying individuals in society? This article discusses the legislature that must be implemented to protect our right to privacy. We will reach a conclusion by further analyzing the benefits and the risks of the new technology, evaluating the privacy issues that accompany, and discussing faults in the

The face recognition model developed by Bruce and Young has eight key parts and it suggests how we process familiar and unfamiliar faces, including facial expressions. The diagram below shows how these parts are interconnected. Structural encoding is where facial features and expressions are encoded. This information is translated at the same time, down two different pathways, to various units. One being expression analysis, where the emotional state of the person is shown by facial features. By using facial speech analysis we can process auditory information. This was shown by McGurk (1976) who created two video clips, one with lip movements indicating 'Ba' and other indicating 'Fa'. Both clips had the sound 'Ba' played over the clip.

Like acne, for example, most people have them for months, while others may just have them just for the week, but the recognition system has already picked up that individual's unique facial patterns and marks. The use of facial recognition in a video is of great value for the police departments because it reinforces the use of security cameras as admissible evidence in courtroom cases. Facial recognition could even identify an individual even if they are not facing the camera directly or in frontal view. In a normal courtroom scenario for robbery caught on video, if the robber solely wore shades and just a hoodie, the evidence presented using facial recognition would stand admissible in court. There have been many non-believers in regards to

In the article, Facial recognition software helps convict a robber, Jon Fingas states that Pierre Martin was convicted of armed robbery after a facial recognition software was used to “match surveillance camera footage with an existing mugshot". This is a logical scenario. First, the author points out that investigators would most likely have not going through 4.5 million photos. For example, doing this would take too much time. Having a software to do that job just as efficiently and quickly as a human is something that should be appreciated and used to it’s fullest potential. In addition, if a person would sift through all the photos, cases would take longer to finalize, and it would be an utter waste of time because law enforcement could

Face recognition is another biometric technology. Face recognition uses the same technology that iris recognition uses. For face recognition, a camera takes several images of a person to find out who it is. Face recognition differs from all of the other biometric technologies because the person that is in the picture does not have to cooperate with the process. In all of the other technologies it requires the people to actively participate in the process. In face recognition, the image can be taken without the person even knowing that it took place.

Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.

The model claims that there is one facial recognition unit for each face and that viewing a face will in turn activate the appropriate face recognition unit. The Person Identity Nodes identify who the person is by classifying or associating them with something. Once again there is only one unit of identification per person. It is at this point that all points of domain and recognition occur. (Burton,A.M; Bruce, V;Johnston,R.A, 1990) (Burton,A.M; Bruce,V& Handcock,P.J,

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes. Furthermore, extra personal information, like gender, face expressions or age, can be obtained by further analyzing recognition results. Nowadays, face recognition technology has been widely applied to public security, person verification, Internet