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Pros And Cons Of Face Recognition

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Face recognition technology [1] is the least intrusive and fastest biometric technology. It works with the most obvious individual identifier – the human face. Instead of requiring people to place their hand on a reader (a process not acceptable in some cultures as well as being a source of illness transfer) or precisely position their eye in front of a scanner, face recognition systems unobtrusively take pictures of people 's faces as they enter a defined area. There is no intrusion or delay, and in most cases the subjects are entirely unaware of the process. They do not feel "under surveillance" or that their privacy has been invaded. [1]
It is not hard to believe with all the existing technology it is more than enough to build a system to …show more content…

But it is mandatory provide there FRS-Face Recognition System, which strengthen the bank account holder’s financial security.
Today, for any kind’s agreement national ID card plays an important role. For enlistment of the national ID a person’s photo and signature is mandatory. But the process should be change into 3D camera photo shoot, which will help the persons exact face identification. If any kinds of incident happen then it will be the evolution to identify the criminal. Not only that, it will provide the criminal exact address. But, before implementation this technology it is very much important to merge the national identity database and the surveillance system server. On the other hand, every security surveillance system has to link with a single secure server.[3]
In a free country safety and security is in high priority. It is strongly necessary to have the FRS-Face Recognition System. It will help in multiple ways. For example, every security surveillance camera device has to connect with national criminal database, which will identify the criminal faces. In case of any kinds of incident it will help to find out the victim and criminal …show more content…

The past of biometrics includes the identification of people by distinctive body features, scars or a grouping of other physiological criteria, such like height, eye color and complexion. The present features are face recognition, fingerprints, handwriting, hand geometry, iris, vein, voice and retinal scan. Biometric technique is now becoming the foundation of a wide array of highly secure identification and personal verification. As the level of security breach and transaction scam increases, the need for well secure identification and personal verification technologies is becoming apparent. Recent world events had lead to an increase interest in security that will impel biometrics into majority use. Areas of future use contain Internet transactions, workstation and network access, telephone transactions and in travel and tourism. There have different types of biometrics: Some are old or others are latest technology. The most recognized biometric technologies are fingerprinting, retinal scanning,hand geometry, signature verification, voice recognition, iris scanning and facial

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Figure 9.4 – Stream When the stream starts, OpenCV, which is running on the server, starts detecting and recognizing faces and displaying the results in a list that resides on the right sidebar. A green box appears, containing the information and the image of the recognized face. If the detected face is unrecognized, a red box appears, containing the face of the unknown individual. Figure 9.5 – Detecting & Recognizing Faces Right after an unrecognized face is caught, an email is sent as an alert for the security guards, containing the unrecognized face of the individual, alongside the date, the time and the IP Camera’s information.

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Journal of Information Security and Applications, 20, pp.90-98. [2]Gordon, M. and Sankaranarayanan, S., 2010, September. Biometric security mechanism in Mobile paymentts. In 2010 Seventh International Conference on Wireless and Optical Communications Networks-(WOCN) (pp. 1-6). IEEE.

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The Uniform Commercial Code, section 4-406, addresses the responsibility of the bank verses the customers in a paper society. While commerce is evolving to a technological world, there are some foreseeable reasons to evaluate this section of the UCC because of the reliability of human interaction. The relationship between the customer and the bank was very relevant to conduct business in the banking system, as swift as laws and codes change to protect cyber banking, more of the responsibility or duty is placed on the customer. As we examine these two codes, with a focus on forgery, we will analysis the facts of a case in relationship of the codes. Then explore the current paperless society and the duty of banks, business and customers to

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Police Body Cameras, also known as Body Worn Videos, have been central in a heated debate surrounding an aggressive and increasingly militarized police force, that through misconduct and controversy has lost the trust of the American people. These body cameras have the ability to rebuild this trust by providing accountability and training to the officers as well as crucial evidence for the courts. In the summer of 2014 a young man by the name of Michael Brown was shot down while fleeing arrest in Ferguson, Mo. The police officer, Darren Wilson, would not stand trial for his actions due to conflicting testimony and a lack of evidence against him.

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Now focusing on cyber security and communication security which are the following parts that make up the national security. Each one of these parts are responsible for a specific function. Cybercrime is attacking the information systems, sometimes identity theft, but in some cases fraud. By providing insight into causes of cybercrime, its participants their motivations, then we identify some of the major issues dealing with these crimes. With cybercrime being nondiscriminatory, also dramatically increase.

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Advancing technology is one of the most important factors leading to police officers, among other types of law enforcement, being able to more quickly, and safely, apprehend a criminal. One of these technologies is that of the Automatic License Plate Recognition system, otherwise referred to as the ALPR. According to Inspector Norm Gaumont and Constable Dave Babineau “ALPR was developed in 1992 at Cambridge University in the United Kingdom in response to terrorism… The United Kingdom continues to lead the way when it comes to the use of ALPR technology”. The Automatic License Plate Recognition system operates through two cameras which can be mounted on police cars, vans, stoplights or other stationary objects.

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And now, it comes to a point where people will not have to bring a tangible identity that contains their information because with the use of RFID implanted in them, a single scanning will give access to some information about that

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Why did a government surveillance official lie to America? In March 2015, Director of National Intelligence James Clapper declared the National Security Agency (NSA) does not “collect any type of data at all on millions or hundreds of millions of Americans” (Engler). Then Edward Snowden revealed that truthfully, plenty of data was being collected and surveyed by the government through the bulk collection of private phone information. James Clapper later stated he “misunderstood the question” (Engler). Not only does this spark rage, but also reveals that the government has been using its resources to data mine at the ignorance of citizens, where a computer algorithm tries to find potential threats in hopes of stopping terrorism.

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We live in an age where technology reigns free and cameras are everywhere. Most people carry a smartphone with the ability to record events as they happen at the time, and the footage appears frequently on the news and internet. In the field of law enforcement, a prominent debate is forming as to if police officers should wear body worn cameras so they can similarly record incidents in real time. Many departments in the United States have adopted body cameras as standard equipment today. In California, a police department has been using body cameras and recording what happens between officers.

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Advances in information technology have now been able to create artificial intelligence (artificial intelligence) that is entered on the various fields of technology, namely video surveillance system. Integrated video surveillance system with an artificial intelligence system can perform the analysis automatically according to needs of users that can help in law enforcement, security protection, business analysis, traffic analysis, and various other activities in the implementation. In addition to having many benefits, in the use and organization of video surveillance systems there is a negative impact are being debated namely issues concerning social justice and privacy. This can be detrimental to not only the individual, but also the whole

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Face Recognition is used in everyday life as people need to remember a face in their jobs or when meeting someone for the first time. Examples of practical applications are Mug shots searching, security monitoring and surveillance systems

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2.1 Face Recognition Technology Human individuality is often identified using faces, advancements in computing capability over the past few decades now enable similar recognitions. Recognition process has now matured into a science of sophisticated mathematical representations and matching processes from geometric model. Face recognition can be used for both verification and identification (open-set and closed-set).Facial recognition is achieved by means of comparing the rigid features of face, which do not change over a period of time. It can also be achieved by comparing other parameters such as skin tone against the information that are stored in the facial database.

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However, the main advantage that such a system would have over a human classifier is due to the limitation of the human brain to accurately remember a large database of individuals. Over the past couple of decades, face recognition

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Biometric face recognition technology has received significant attention in the past several years to use human face as a key to security. Both law enforcement and non-law enforcement are its application. Face recognition system comprises of two Categories: verification and identification. Face Verification is Done in 1:1 match ratio. It is utilized to looks at a face pictures against a Template face pictures, whose identity being claimed.

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Abstract The gender recognition from face images has many applications in visual surveillance, human-computer interaction systems, content-based searching, biometrics, demographic,targeted advertising and personalized services in a large number of businesses. A gender classification approach can enhance the performance of many other applications such as face recognition and smart human-computer interfaces. The face is a prominent biometric feature of human beings. It can convey various information including gender, age and ethnicity, in addition to identity.

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