Introduction to Biometrics

Jain, Anil K.; Ross, Arun; Nandakumar, Karthik

doi:10.1007/978-0-387-77326-1

Cited by 584 publications

(294 citation statements)

References 51 publications

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“…Matcher or classifier component could be subject for software modification or final decision substitution at locations G and H respectively. These security breaches are categorized, according to (Jain, Ross, & Nandakumar, 2011), into attacks related to the user interface, attacks on modules, on the interconnection between modules and, on template database. …”

Section: Biometric System Vulnerability Pointsmentioning

confidence: 99%

Authentication systems: principles and threats

Abdulkader¹,

Atia²,

Mostafa³

2015

CIS

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Identity manipulation is considered a serious security issue that has been enlarged with the spread of automated systems that could be accessed either locally or remotely. Availability, integrity, and confidentiality represent the basic requirements that should be granted for successful authentication systems. Personality verification has taken multiple forms depending on different possession types. They are divided into knowledge based, token based, and biometric based authentication. The permanent ownership to the human being has increased the chances of deploying biometrics based authentication in highly secure systems. It includes capturing the biological traits, which are physiological or behavioral, extracting the important features and comparing them to the previously stored features that belong to the claimed user. Various kinds of attacks aim to take down the basic requirements at multiple points. This paper describes different types of authentication along with their vulnerable points and threatening attacks. Then it provides more details about the biometric system structure as well as examples of distinguishing biological characteristics, organized by their locations. It shows the performance results of various biometric systems along with the deployed algorithms for different components.

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Section: Biometric System Vulnerability Pointsmentioning

confidence: 99%

Authentication systems: principles and threats

Abdulkader¹,

Atia²,

Mostafa³

2015

CIS

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“…Participants were also inquired about the possibility of participating in future data acquisition sessions, and primary contact information was collected for this purpose. 1 Demographic information was also requested for statistics and sample characterization purposes, 1 It is important to further reinforce that contact information is stored separately from the data and that the database is anonymized. and a space for additional notes or comments regarding the experiments was also added.…”

Section: Overviewmentioning

confidence: 99%

“…A research field that has seen a recent trend towards the use of biosignals is biometrics, which focuses on identity recognition based on physiological or behavioral properties of an individual [1]. Electrocardiographic (ECG) data is one of the novel biometric traits where a growing interest is evident within the reference literature [2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Check Your Biosignals Here: A new dataset for off-the-person ECG biometrics

Silva

Lourenço

Fred

et al. 2014

Computer Methods and Programs in Biomedicine

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c o m p u t e r m e t h o d s a n d p r o g r a m s i n b i o m e d i c i n e 1 1 3 ( 2 0 1 4 ) [503][504][505][506][507][508][509][510][511][512][513][514] j o u r n a l h o m e p a g e : w w w . i n t l . e l s e v i e r h e a l t h . c o m / j o u r n a l s / c m p b The Check Your Biosignals Here initiative (CYBHi) was developed as a way of creating a dataset and consistently repeatable acquisition framework, to further extend research in electrocardiographic (ECG) biometrics. In particular, our work targets the novel trend towards off-the-person data acquisition, which opens a broad new set of challenges and opportunities both for research and industry. While datasets with ECG signals collected using medical grade equipment at the chest can be easily found, for off-the-person ECG data the solution is generally for each team to collect their own corpus at considerable expense of resources.In this paper we describe the context, experimental considerations, methods, and preliminary findings of two public datasets created by our team, one for short-term and another for long-term assessment, with ECG data collected at the hand palms and fingers.

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“…Biometric authentication is centered on the acquisition of individual human physical qualities, used to compose a template (feature vector) for further biometric identification (Woodward et al, 2002;Jain et al, 2011). …”

Section: Introduction To Hylemetrymentioning

confidence: 99%

Biometric-Like Approach for Verifying Artworks Authenticity

Cozzella¹,

Spagnolo²,

Leccese³

2013

APR

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The artwork market is plenty of unauthorized reproduction of original products. One of the most varies filed is the counterfeiting of Authenticity Certificate related to paints, lithography, sculptures, etc., with the aim to create an illegal market of reproduced copies. To resolve this problematic, it is possible change the current paper certificate, related to a single artwork, with a digital version, which will contain some specific information, related to the artwork itself. In this paper, starting with the well-known advantages given by the biometry paradigm in human authentication, we propose a method able to distinguish the single "non-living" objects. In other words, we propose an approach that, by using the random inimitably characteristics, is able to uniquely identify artworks such as painting, lithographs, sculptures, etc. In this way it could be possible creating a secure digital certificate of authenticity (digital COA). Due to the high density information available in modern acquisition media, it is possible using a Speckle Metrology approach. During verification phase, the same area has to be acquired, to extract embedded verification data. It is possible to secure this data using a private key, necessary for accepting the digital signature. The presence of possible geometrical distortions between image present in the certificate and acquired during the verification phase, it is necessary applying geometrical corrections based on affine transformation, before executing the correlation methodologies, used in speckle metrology.

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Introduction to Biometrics

Cited by 584 publications

References 51 publications

Authentication systems: principles and threats

Authentication systems: principles and threats

Check Your Biosignals Here: A new dataset for off-the-person ECG biometrics

Biometric-Like Approach for Verifying Artworks Authenticity

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