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FACIAL SOFT BIOMETRICS - Library of Ph.D. Theses | EURASIP

FACIAL SOFT BIOMETRICS - Library of Ph.D. Theses | EURASIP

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13Chapter 1IntroductionTraditional biometrics <strong>of</strong>fer a natural and reliable solution for establishing the identity <strong>of</strong> anindividual, and for this reason, the use <strong>of</strong> human physical and behavioral characteristics has beenincreasingly adopted in security applications. With this approach maintaining various advantagessuch as universality, robustness, permanence and accessibility, it is not surprising that currentintrusion detection and security mechanisms and systems include by default at least one biometrictrait.Building on this progress, the latest addition <strong>of</strong> s<strong>of</strong>t biometrics builds and adds on the mainadvantages <strong>of</strong> classical biometrics.The beginnings <strong>of</strong> s<strong>of</strong>t biometric science were laid by Alphonse Bertillon in the 19th century,who firstly introduced the idea <strong>of</strong> a person identification system based on biometric, morphologicaland anthropometric determinations, see [Rho56]. In his effort, Bertillon considered traits likecolors <strong>of</strong> eye, hair, beard and skin; shape and size <strong>of</strong> the head, as well as general discriminators likeheight or weight and also indelible marks such as birth marks, scars or tattoos. These descriptorsmainly comprise what is now referred to as the family <strong>of</strong> s<strong>of</strong>t biometrics, a term first introducedby Jain et al. [JDN04b] to describe the set <strong>of</strong> characteristics that provide (some) information aboutan individual, but that are not generally sufficient for fully describing and identifying a person,mainly due to the lack <strong>of</strong> distinctiveness and permanence <strong>of</strong> such traits. As stated later [JDN04a],such s<strong>of</strong>t biometrics traits can be inexpensive to compute, can be sensed at a distance, do notrequire the cooperation <strong>of</strong> the surveillance subjects, and can be efficiently used to narrow downa search for an individual from a large set <strong>of</strong> people. Along the lines <strong>of</strong> semantic annotation([SGN08] and [RN10]) we here note the human compliance <strong>of</strong> s<strong>of</strong>t biometrics as a main differencebetween s<strong>of</strong>t biometrics and classical biometrics - a difference that renders s<strong>of</strong>t biometrics suitablefor many applications. The terms light biometrics see in [ALMV04], similes see in [KBBN09]and attributes see in [VFT + 09] have been describing traits we associate to s<strong>of</strong>t biometrics. Thefollowing definition clarifies what is considered here as s<strong>of</strong>t-biometric traits.Definition: S<strong>of</strong>t biometric traits are physical, behavioral or adhered human characteristics,classifiable in pre–defined human compliant categories. These categories are, unlike in the classicalbiometric case, established and time–proven by human experience with the aim <strong>of</strong> differentiatingindividuals. In other words s<strong>of</strong>t biometric traits are created in a natural way, used by peopleto characterize other people.Our interest in this thesis is in understanding the role that s<strong>of</strong>t biometrics can play in securityand commercial systems <strong>of</strong> the future. In brief we begin by specifying s<strong>of</strong>t biometric traits thatadhere to the above definition. After an overview <strong>of</strong> related work, we proceed to explore differentapplications that benefit from s<strong>of</strong>t biometric systems (SBSs), focusing on surveillance relatedperson identification, and on pruning <strong>of</strong> large surveillance related searches. We also consider the

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