QuestionQuestion

Biometrics continues to be an emerging field, and its use continues to evolve in criminal investigations.
As you know, fingerprints are considered to be scientifically valid evidence that has been accepted by various courts.

However, many of these new technologies have not had enough time to be scientifically recognized as valid means of identifying somebody for criminal trial related purposes.
With this in mind, examine some of the challenges with the lesser accurate forms of biometrics, including facial recognition, voice recognition (voice stress analysis), or signature recognition.

Prepare a 3–5 page paper that addresses the following questions:

Select 1 of the above listed less accurate forms of biometrics and summarize the science behind it (i.e., how it works) and how it can be used in criminal investigations.

Identify at least 2 challenges to the selected biometric. In other words, what are the limitations of its use?

Provide a hypothetical example of the selected biometric being used in a criminal investigation.

Support your work with properly cited research and examples of the selected biometrics applied in the public and private sector.

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Biometric Methods

Abstract

With the extensive use of video surveillance cameras and mobile phones equipped with high-resolution cameras, the increase in video footage or still photographic evidence has been on the rise.
Law enforcement officers have the liberty to use these footages and photographs to identify the potential persons of interest.

By the use of various developed algorithms, the law enforcing agents can match faces of persons they are interested in with the information found in their database.
However, this method of identifying suspects has proven to be less reliable. This is because of the many limitations in capturing clear footage or a still photo of victims or suspects.

This paper is going to give an overview of some of the scenarios that facial recognition technology might fail to produce the desired results.

Introduction

Human beings have always been known to use faces when it comes to identifying or recognizing individuals.
Over the past years, advancement in computing technology has enabled similar recognitions to be done automatically.
Significant progress in this type of technology has been witnessed in the past ten to fifteen years. This technology is used for both identification and verification.

Face recognition is a relatively new concept that was first developed in the 1960’s. According to Goldein, Harmon and Lesk (1971), the first semi-automated facial recognition system was required to locate facial features such as the nose, ears...
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