Combining Multiagent Negotiation and an Interacting Verification Process to Enhance Biometric-Based Identification

Abreu, Márjory Da Costa; Fairhurst, Michael

doi:10.1007/978-3-642-19530-3_9

Cited by 4 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There is a growing literature reporting the prediction of lower‐level characteristics such as age, gender and a variety of other defining features of individuals from biometric data, resulting in the extraction of valuable information short of identity itself which can contribute to many important practical applications, including security, forensics and healthcare, to take just the most obvious examples. It is interesting to note also that already it is possible to find examples of applications where conventional biometrics and what we have called here ‘predictive biometrics’ can be brought together to enhance conventional biometric processing [189, 191].…”

Section: Discussionmentioning

confidence: 99%

Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data

Fairhurst

Abreu

2017

IET biom.

Self Cite

View full text Add to dashboard Cite

Interest in the exploitation of soft biometrics information has continued to develop over the last decade or so. In comparison with traditional biometrics, which focuses principally on person identification, the idea of soft biometrics processing is to study the utilisation of more general information regarding a system user, which is not necessarily unique. There are increasing indications that this type of data will have great value in providing complementary information for user authentication. However, the authors have also seen a growing interest in broadening the predictive capabilities of biometric data, encompassing both easily definable characteristics such as subject age and, most recently, 'higher level' characteristics such as emotional or mental states. This study will present a selective review of the predictive capabilities, in the widest sense, of biometric data processing, providing an analysis of the key issues still adequately to be addressed if this concept of predictive biometrics is to be fully exploited in the future.

show abstract

Section: Discussionmentioning

confidence: 99%