Biometrics Of The Criminal Justice System

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.

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.

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.

Identification processes are significantly more complex and error prone than verification processes. Biometrics technologies are indicators of authentication assurance with results based on a predetermined threshold with measurable False Accept Rates and False Reject Rates.

Biometrics is a piece of technology shown off in BTTF2 and now biometrics are almost being used in our everyday lives. People have it on their phones and sometimes even check into work with them. The problem is people place their hands everywhere making it easy to find them. Basically ruining the whole concept of safety with biometrics. For example, Magaly Ramirez, a student

Biometric Authentication refers to the usage of software that looks for physical markers to allow access to a system. Some of the most commonly used physical markers are fingerprints, face-recognition, voice-recognition, and iris-recognition (Williams & Sawyer, 2015). As no two humans are exactly alike biometics are less likely to be hacked, although it is not impossible.

We live in a world today, in which technology moves at a very rapid pace. Many of these technological advances can be used to make our everyday lives easier and safer. One of these new technologies is Biometrics. Biometrics is the process of measuring a person’s physical properties. This would include measuring things like fingerprints, retinas, odor, vein structure on the back of the hand and many other things. Biometrics is a very important topic because it would create better security precautions for certain places that need to be secure. Biometrics will make our society safer by only allowing authorized people out of secure facilities and by keeping the unauthorized people out. Throughout the rest of this

The automated Fingerprint Identification System is also known as the AFIS within the law enforcement division (FBI, 2010). This system is an important element in the criminal justice system as some of its features encompass the storing of data, encoding, and fingerprint and facial comparison through graphics and other techniques. Law officials many centuries ago in the pursuit of positively identifying someone suspected of guilt have long used fingerprints techniques. Fingerprinting is also used in branches of our government, and in the Pentagon, the authentication method of fingerprints is used permit access to specified zones inside the building. Fingerprints are an effective and very precise method of identification purposes that does not pose

Theorist working on a comparison of the biometric template that is created and temporarily stored template with a number of people. And then takes the decision-maker in mind the similarity measures produced by matcher.

With the advancement in technology, news of identity theft and identity spoofing has become increasingly prevalent in several areas. The need of the hour is to build systems tightly integrated with biometrics so as to make the task of spoofing someone else’s identity extremely difficult. Biometric-identity has protected and provided reliable mechanism to several organizations to enable accurate and safe access rights to their existing infrastructure.

When 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 of late due to advances in modern computing and imagery technology. Biometric facial recognition is defined by Joseph Dewey and the Salem Press Encyclopedia (2013) as “computer applications that can identify a person using a digital image of his or her face and comparing it to a database of stored facial images” (Dewey et

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 algorithms, as a strong alternative to other authentication schemes. The extent of penetration is such that, nowadays, most of us carry a version of such a system on our iPhones and Android phones, i.e. The Fingerprint Lock and the Facial Recognition Lock. These systems have become an important security aspect of our lives used for identification and verification to sensitive material. But, in todays post Snowden’s Wikileaks era, are how secure these authentication schemes are, if at all they are? And what possible privacy concerns do they beget? If there are some concerns, how do we address them? This paper talks about the aforementioned security flaws and privacy concerns followed by suggested techniques to alleviate them.

You have seen biometric technology in the films Mission: Impossible and Gattaca. The technology has also graced the covers of many weekly news magazines. But many people, even though the technology has been widely talked about for the last half decade, are still surprisingly unaware of what biometrics are and why the technology is so important for computer security and personal identification.

Biometric technologies are getting better and finely tuned. The rate of false readings and errors has sharply fallen. However it still requires careful consideration and planning to implement a biometric identification system. They are most costly and complicated to implement as compared with other authentication systems. A proper evaluation of the system is important before purchasing any biometric system. A thorough risk analysis is necessary. In many cases biometrics may be overkill. Biometrics must be used if there is high level of risk involved. Customer acceptance is also important when logging on to company websites. Home users might not be ready to install biometrics on home computers for online banking.

The performance of biometric verification systems is typically described based on terms; the false accept rate (FAR) and a corresponding false reject rate (FRR). A false acceptance occurs when the system allows an forger’s sign is accepted. A false reject ratio represents a valid user is rejected from gaining access to the system. These two errors are directly correlated, where a change in one of the rates will inversely affect the other. A common alternative to describe the performance of system is to calculate the equal error rate (EER). EER corresponds to the point where the false accept and false reject rates are equal. In order to visually comment the performance of a biometric system, receiver operating characteristic (ROC) curves are drawn. Biometric systems generate matching scores that represent how similar (or dissimilar) the input is compared with the stored template. This score is compared with a threshold to make the decision of rejecting or accepting the user. The threshold value can be changed in order to obtain various FAR and FRR combinations.