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2019, forensic series
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Identity theft has become fashionable in the wake of advancement in documents production embedded with security features. To detect this crime easily require the science of fingerprints, among other techniques.
2015
Automated Fingerprint Identification Systems (AFIS) is deployed in law authorization and fringe control applications. This has elevated the requirement for guaranteeing that these frameworks are not traded off. A few issues identified with finger print analysis frameworks security have been explored. This includes the utilization of fake fingerprints for disguising personality. The issues of finger print alteration or jumbling has gotten almost no consideration. Fingerprint Obfuscation alludes to the planned change of the finger print pattern of a single person with the goal of veiling his personality. A few instances of unique finger print Obfuscation have been reported so far. Finger print image quality assessment software can't generally identify adjusted fingerprints. This paper highlights the significance of the issue by analyzing altered fingerprints and proposes an effective algorithm for them.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control applications has heightened the need for ensuring that these systems are not compromised. While several issues related to fingerprint system security have been investigated, including the use of fake fingerprints for masquerading identity, the problem of fingerprint alteration or obfuscation has received very little attention. Fingerprint obfuscation refers to the deliberate alteration of the fingerprint pattern by an individual for the purpose of masking his identity. Several cases of fingerprint obfuscation have been reported in the press. Fingerprint image quality assessment software (e.g. NFIQ) cannot always detect altered fingerprints since the implicit image quality due to alteration may not change significantly. The main contributions of this paper are: (a) compiling case studies of incidents where individuals were found to have altered their fingerprints for circumventing AFIS; (b) investigating the impact of fingerprint alteration on the accuracy of a commercial fingerprint matcher; (c) classifying the alterations into three major categories and suggesting possible counter-measures; (d) developing a technique to automatically detect altered fingerprints based on analyzing orientation field and minutiae distribution; and (e) evaluating the proposed technique and the NFIQ algorithm on a large database of altered fingerprints provided by a law enforcement agency. Experimental results show the feasibility of the proposed approach in detecting altered fingerprints and highlight the need to further pursue this problem.
International Journal of Information Technology and Management, 2012
The preservation of your identity could become a major concern. In many situations, you need to claim an identity and this claim needs to be verified somehow. The technology called biometrics may help. But, what if a deliberate impostor claims your identity? Will this forgery be always detected? Biometric identity verification is imperfect. This paper reviews some of the techniques that a deliberate impostor could use to defeat a biometric verification system. It focuses on audiovisual forgeries using voice conversion and face animation. It also describes identity disguise as a means of falsifying and concealing one's identity. The recovery of an identity and cancelable biometrics are also useful techniques to protect from identity theft. Such techniques also find useful applications in multimedia.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
Fingerprint identification is based on two basic premises: (i) persistence: the basic characteristics of fingerprints do not change with time; and (ii) individuality: the fingerprint is unique to an individual. The validity of the first premise has been established points is 6.10 × 10 −8 . These probability estimates are compared with typical fingerprint matcher accuracy results. Our results show that (i) contrary to the popular belief, fingerprint matching is not infallible and leads to some false associations, (ii) while there is an overwhelming amount of discriminatory information present in the fingerprints, the strength of the evidence degrades drastically with noise in the sensed fingerprint images, (iii) the performance of the state-of-the-art automatic fingerprint matchers is not even close to the theoretical limit, and (iv) because automatic fingerprint verification systems use only a part of the discriminatory information present in the fingerprints, it may desirable to explore additional complementary representations of fingerprints for automatic matching.
The uniqueness of fingerprints was established only on the basis of experience and observation. The dactyloscopic axioms have been defined as the e-tens of premises: There are no such two people in the world which would have an identical pattern structure of papillary lines. The pattern of papillary lines of any person remains relatively stable or unchanged for his or her whole life. The papillary lines regenerate with the growth of the skin, the papillary line cannot be destroyed, only when very deep removal of the skin occurs.
2007
Using biometric data for classification and/or identification in forensic science dates back to the turn of the 20 century. Biometrics as we know it today can be viewed as extension of Bertillon’s anthropometric approach, benefiting from automation and the use of additional features. This chapter presents a historical and technical overview of the development and the evolution of forensic biometric systems, used initially manually and then in a semi-automatic way. Before focusing on specific forensic fields, we will define the area, its terminology and draw distinctions between forensic science and biometrics. Forensic science refers to the applications of scientific principles and technical methods to an investigation in relation to criminal activities, in order to establish the existence of a crime, to determine the identity of its perpetrator(s) and their modus operandi. It is thus logical that this area was a fertile ground for the use of physiological or behavioral data to sort...
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