Ecole d'ingénieur et centre de recherche en Sciences du numérique

What else does your biometric data reveal? A survey on soft biometrics

Dantcheva, Antitza; Elia, Petros; Ross, A

IEEE Transactions on Information Forensics and Security, Vol. 11, N°3, March 2016, ISSN: 1556-6013

Recent research has explored the possibility of extracting ancillary information from primary biometric traits, viz., face, fingerprints, hand geometry and iris. This ancillary information includes personal attributes such as gender, age, ethnicity, hair color, height, weight, etc. Such attributes are known as soft biometrics and have applications in surveillance and indexing biometric databases. These attributes can be used in a fusion framework to improve the matching accuracy of a primary biometric system (e.g., fusing face with gender information), or can be used to generate qualitative descriptions of an individual (e.g., "young Asian female with dark eyes and brown hair"). The latter is particularly useful in bridging the semantic gap between human and machine descriptions of biometric data. In this paper, we provide an overview of soft biometrics and discuss some of the techniques that have been proposed to extract them from image and video data. We also introduce a taxonomy for organizing and classifying soft biometric attributes, and enumerate the strengths and limitations of these attributes in the context of an operational biometric system. Finally, we discuss open research problems in this field. This survey is intended for researchers and practitioners in the field of biometrics.

Document Doi Hal Bibtex

Titre:What else does your biometric data reveal? A survey on soft biometrics
Mots Clés:Soft biometrics, Biometrics, Computer Vision, Gender, Age, Ethnicity, Race, Cosmetics, Privacy, Semantics, Visual Attributes I
Type:Journal
Langue:English
Ville:
Date:
Département:Systèmes de Communication
Eurecom ref:4587
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Bibtex: @article{EURECOM+4587, doi = {http://dx.doi.org/10.1109/TIFS.2015.2480381}, year = {2015}, month = {04}, title = {{W}hat else does your biometric data reveal? {A} survey on soft biometrics}, author = {{D}antcheva, {A}ntitza and {E}lia, {P}etros and {R}oss, {A}}, journal = {{IEEE} {T}ransactions on {I}nformation {F}orensics and {S}ecurity, {V}ol. 11, {N}°3, {M}arch 2016, {ISSN}: 1556-6013}, url = {http://www.eurecom.fr/publication/4587} }
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