Soft biometrics

Soft Biometrics traits are physical, behavioural or adhered human characteristics, classifiable in pre–defined human compliant categories. These categories are, unlike in the classical biometric case, established and time–proven by humans with the aim of differentiating individuals. In other words, the soft biometric traits instances are created in a natural way, used by humans to distinguish their peers.[1][2]

Introduction

The beginnings of Soft Biometrics can be identified as laid by Alphonse Bertillon in the 19th century. He first proposed a personal identification system based on biometric, morphological and anthropometric determinations.[3] The most common traits he introduced were colour of eye, hair, beard and skin; shape and size of the head; body characteristics like height or weight as well as indelible marks such as birth marks, scars or tattoos. A majority of these descriptors presently fall into the category of Soft Biometrics.

Jain lately redefined Soft Biometrics as a set of traits providing information about an individual, though these are not able to individually authenticate the subject because they lack distinctiveness and permanence.[4] Further research has shown that a larger set of soft biometric traits can be used to identify individuals. A redefinition of Soft Biometrics was proposed by Reid and Nixon as any characteristic which can be naturally described by humans.[5] Such soft biometrics are well suited to deployment in surveillance applications [6] and research is ongoing to capitalise on these developments. Recently, new soft-biometrics cues have been introduced for the identification of people involved in text chat conversations.[7] The task has become important after that social media have penetrated the everyday life of many people and have offered the possibility of interacting with persons that hide their identity behind nicknames or potentially fake profiles. Soft-biometric cues allow to take into account the conversational nature of text chat interactions.[7][8]

Soft Biometric traits

Traits which accept the above definition include, but are not limited to:

Soft Biometrics inherit a main part of the advantages of Biometrics and furthermore endorses by its own assets. Some of the advantages include non obtrusiveness, the computational and time efficiency and human compliance. Furthermore, they do not require enrolment, nor the consent or the cooperation of the observed subject.

See also

References

  1. ↑ Dantcheva, A.; Elia, P.; Ross, A. (March 2016). "What else does your biometric data reveal? A survey on soft biometrics.". IEEE Transactions on Information Forensics and Security 11 (3): 441–467. doi:10.1109/TIFS.2015.2480381.
  2. ↑ Dantcheva, A.; Velardo, C.; D'Angelo, A.; Dugelay, J.-L. (October 2010). "Bag of Soft Biometrics for Person Identification: new trends and challenges.". Multimedia Tools and Applications 51 (2): 739–777. doi:10.1007/s11042-010-0635-7.
  3. ↑ Rhodes, H.T.F. (1956). Alphonse Bertillon: Father of Scientific Detection. OL 18720791M.
  4. ↑ Jain, A.K.; Dass, S.C.; Nandakumar, K. (2004). Soft biometric traits for personal recognition systems. International Conference on Biometric Authentication. doi:10.1007/978-3-540-25948-0_99.
  5. ↑ Reid, D.A.; Nixon, M.S. (2011). Using Comparative Human Descriptions for Soft Biometrics. (PDF). International Joint Conference on Biometrics.
  6. ↑ Reid, D.A.; Samangooei, S.; Chen, C.; Nixon, M.S.; Ross, A. (2013), Soft Biometrics for Surveillance: An Overview. (PDF), Handbook of statistics, Vol. 31
  7. 1 2 3 Cristani, Marco; Roffo, Giorgio; Segalin, Cristina; Bazzani, Loris; Vinciarelli, Alessandro; Murino, Vittorio (2012-01-01). "Conversationally-inspired Stylometric Features for Authorship Attribution in Instant Messaging". Proceedings of the 20th ACM International Conference on Multimedia. MM '12 (New York, NY, USA: ACM): 1121–1124. doi:10.1145/2393347.2396398. ISBN 9781450310895.
  8. 1 2 Roffo, Giorgio; Giorgetta, Cinzia; Ferrario, Roberta; Riviera, Walter; Cristani, Marco (2014-01-01). "Statistical Analysis of Personality and Identity in Chats Using a Keylogging Platform". Proceedings of the 16th International Conference on Multimodal Interaction. ICMI '14 (New York, NY, USA: ACM): 224–231. doi:10.1145/2663204.2663272. ISBN 9781450328852.

Further reading

This article is issued from Wikipedia - version of the Monday, March 07, 2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.