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]
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.[2] 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.[3] 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.[4] Such soft biometrics are well suited to deployment in surveillance applications [5] and research is ongoing to capitalise on these developments.
Soft Biometric traitsedit
Traits which accept the above definition include, but are not limited to:
Physical: skin colour, eye colour, hair colour, presence of beard or moustache, height, weight, gender, race, ethnicity, wrinkles.
Adhered human characteristics: clothes colour, tattoos, accessories.
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 enrollment, nor the consent or the cooperation of the observed subject.
Usageedit
Soft biometrics are used to identify humans and can be combined with biometric authentication systems to increase the amount of accuracy of recognition.[6] An example is visual surveillance, and soft biometric information can help identify people during the inconsistencies when faces are captured poorly on camera.[7]
^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. S2CID 38082731.
^Rhodes, H.T.F. (1956). Alphonse Bertillon: Father of Scientific Detection. OL 18720791M.
^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.
^Reid, D.A.; Nixon, M.S. (2011). (PDF). International Joint Conference on Biometrics. Archived from the original (PDF) on 2013-03-08.
^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
^Kathrine, G. Jaspher Willsie (2018-12-07), "Biometrics-Based Authentication Scheme for Cloud Environment", Cryptographic and Information Security, Boca Raton, FL: CRC Press, pp. 917–944, doi:10.1201/9780429435461-31, ISBN978-0-429-43546-1, S2CID 196187324, retrieved 2020-10-25
^James, Priyamol; Thomas, Jeena; Alex, Neena (February 2015). "A survey on soft Biometrics and their application in person recognition at a distance". 2015 International Conference on Soft-Computing and Networks Security (ICSNS). IEEE. pp. 1–5. doi:10.1109/icsns.2015.7292416. ISBN978-1-4799-1752-5. S2CID 16114639.
Further readingedit
Can soft biometric traits assist user recognition?. Published in SPIE 2004.
"Ross et al.", Handbook of multibiometrics, International Series on Biometrics, Vol. 6, Springer 2006.
Facial marks: Soft biometric for face recognition[permanent dead link]. Published in ICIP 2009.
Weight estimation from visual body appearance . Published in BTAS 2010.
Soft biometrics systems : Reliability and asymptotic bounds. Published in BTAS 2010.
Color based soft biometry for hooligans detection. Published in ISCAS 2010.
Person recognition using a bag of facial soft biometrics (BoFSB). Published in MMSP 2010.
April 12, 2024
soft, biometrics, soft, biometrics, traits, physical, behavioural, adhered, human, characteristics, classifiable, defined, human, compliant, categories, these, categories, unlike, classical, biometric, case, established, time, proven, humans, with, differentia. 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 Contents 1 Introduction 2 Soft Biometric traits 3 Usage 4 See also 5 References 6 Further readingIntroduction editThe 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 2 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 3 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 4 Such soft biometrics are well suited to deployment in surveillance applications 5 and research is ongoing to capitalise on these developments Soft Biometric traits editTraits which accept the above definition include but are not limited to Physical skin colour eye colour hair colour presence of beard or moustache height weight gender race ethnicity wrinkles Behavioural gait keystroke signature Adhered human characteristics clothes colour tattoos accessories 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 enrollment nor the consent or the cooperation of the observed subject Usage editSoft biometrics are used to identify humans and can be combined with biometric authentication systems to increase the amount of accuracy of recognition 6 An example is visual surveillance and soft biometric information can help identify people during the inconsistencies when faces are captured poorly on camera 7 See also editBiometrics Private biometrics Surveillance Anthropometry Biometric passport Biometrics in schoolsReferences edit 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 S2CID 38082731 Rhodes H T F 1956 Alphonse Bertillon Father of Scientific Detection OL 18720791M 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 Reid D A Nixon M S 2011 Using Comparative Human Descriptions for Soft Biometrics PDF International Joint Conference on Biometrics Archived from the original PDF on 2013 03 08 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 Kathrine G Jaspher Willsie 2018 12 07 Biometrics Based Authentication Scheme for Cloud Environment Cryptographic and Information Security Boca Raton FL CRC Press pp 917 944 doi 10 1201 9780429435461 31 ISBN 978 0 429 43546 1 S2CID 196187324 retrieved 2020 10 25 James Priyamol Thomas Jeena Alex Neena February 2015 A survey on soft Biometrics and their application in person recognition at a distance 2015 International Conference on Soft Computing and Networks Security ICSNS IEEE pp 1 5 doi 10 1109 icsns 2015 7292416 ISBN 978 1 4799 1752 5 S2CID 16114639 Further reading editCan soft biometric traits assist user recognition Published in SPIE 2004 Ross et al Handbook of multibiometrics International Series on Biometrics Vol 6 Springer 2006 Facial marks Soft biometric for face recognition permanent dead link Published in ICIP 2009 Weight estimation from visual body appearance Published in BTAS 2010 Soft biometrics systems Reliability and asymptotic bounds Published in BTAS 2010 Color based soft biometry for hooligans detection Published in ISCAS 2010 Person recognition using a bag of facial soft biometrics BoFSB Published in MMSP 2010 Retrieved from https en wikipedia org w index php title Soft biometrics amp oldid 1167091798, wikipedia, wiki, book, books, library,
